P. Alku

P. Alku, Susanna Varho, 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

Physical variations related to stress and emotional state: A preliminary study.

P. Alku, E. Vilkman, A. Laukkanen, 1996 .

Closed phase covariance analysis based on constrained linear prediction for glottal inverse filtering.

P. Alku, B. Story, Tomas Bäckström, 2009, The Journal of the Acoustical Society of America.

Bollepalli, Bajibabu; Juvela, Lauri; Alku, Paavo Lombard speech synthesis using transfer learning in a Tacotron text-to-speech system

Lauri Juvela, P. Alku, 2019 .

Increased distractibility in closed head injury as revealed by event‐related potentials

Paavo Alku, Risto Näätänen, Juha Öhman, 2000, Neuroreport.

A Population Rate Code of Auditory Space in the Human Cortex

P. Alku, H. Tiitinen, P. May, 2009, PloS one.

Transient and sustained cortical activity elicited by connected speech of varying intelligibility

Paavo Alku, Hannu Tiitinen, Patrick J C May, 2012, BMC Neuroscience.

The auditory N1m reveals the left-hemispheric representation of vowel identity in humans

Paavo Alku, Hannu Tiitinen, Anna Mari Mäkelä, 2003, Neuroscience Letters.

Brain responses reveal the learning of foreign language phonemes.

R. Ilmoniemi, V. Csépe, I. Winkler, 1999, Psychophysiology.

A physiological and acoustic study on voiced bilabial fricative/beta:/as a vocal exercise.

P. Alku, E. Vilkman, A. Laukkanen, 1996, Journal of voice : official journal of the Voice Foundation.

Comparison of two inverse filtering methods in parameterization of the glottal closing phase characteristics in different phonation types.

P. Alku, J. Sundberg, M. Airas, 2007, Journal of voice : official journal of the Voice Foundation.

Parameterisation Methods of the Glottal Flow Estimated by Inverse Filtering

Paavo Alku, P. Alku, 1985 .

The effects of healthy aging on auditory processing in humans as indexed by transient brain responses

P. Alku, E. Pekkonen, H. Tiitinen, 2010, Clinical Neurophysiology.

Electromagnetic recordings reveal latency differences in speech and tone processing in humans.

P. Alku, R. Näätänen, J. Virtanen, 1999, Brain research. Cognitive brain research.

Automatic and controlled processing of acoustic and phonetic contrasts

H. Lyytinen, P. Alku, R. Näätänen, 2004, Hearing Research.

J. Townsend, P. Alku, R. Čeponienė, 2008, Clinical Neurophysiology.

Language context and phonetic change detection.

I. Winkler, P. Alku, R. Näätänen, 2003, Brain research. Cognitive brain research.

Mismatch negativity (MMN) elicited by changes in phoneme length: A cross-linguistic study

P. Alku, R. Näätänen, M. Huotilainen, 2006, Brain Research.

The effects of cortical ischemic stroke on auditory processing in humans as indexed by transient brain responses

P. Alku, E. Pekkonen, H. Tiitinen, 2010, Clinical Neurophysiology.

Long-term memory traces facilitate short-term memory trace formation in audition in humans

P. Alku, M. Huotilainen, A. Kujala, 2001, Neuroscience Letters.

Glottal inverse filtering with the closed-phase covariance analysis utilizing mathematical constraints in modelling of the vocal tract

P. Alku, Tomas Bäckström, C. Magi, 2009, Logopedics, phoniatrics, vocology.

Harmonic All-Pole Modelling for Glottal Inverse Filtering

P. Alku, T. Backstrom, 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.

Formant frequency estimation of high-pitched vowels using weighted linear prediction.

P. Alku, B. Story, J. Pohjalainen, 2013, The Journal of the Acoustical Society of America.

On line spectral frequencies

P. Alku, W. Kleijn, Tomas Bäckström, 2003, IEEE Signal Processing Letters.

The contribution of high frequencies to human brain activity underlying horizontal localization of natural spatial sounds

Lassi A. Liikkanen, P. Alku, H. Tiitinen, 2007, BMC Neuroscience.

Are different kinds of acoustic features processed differently for speech and non-speech sounds?

P. Alku, M. Tervaniemi, K. Alho, 2001, Brain research. Cognitive brain research.

Evaluation of the new speech signal model in conjunction with HMM-based acoustic models

J. Yamagishi, P. Alku, Pierre-Paul Sondag, 2013 .

Automatic parameterization with WLP-based GIF-techniques

P. Alku, Pierre-Paul Sondag, T. Raitio, 2012 .

- A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis

P. Alku, B. Bollepalli, Vassillis Tsiaras, 2019 .

The Vocal Tract in Loud Twang-Like Singing While Producing High and Low Pitches.

P. Alku, J. Sundberg, A. Laukkanen, 2020, Journal of voice : official journal of the Voice Foundation.

The role of F3 in the vocal expression of emotions

P. Alku, A. Laukkanen, T. Waaramaa, 2006, Logopedics, phoniatrics, vocology.

P. Alku, E. Vilkman, J. Vintturi, 2003, Folia Phoniatrica et Logopaedica.

Dynamic Extremes of Voice in the Light of Time Domain Parameters Extracted from the Amplitude Features of Glottal Flow and Its Derivative

P. Alku, E. Vilkman, J. Vintturi, 2002, Folia Phoniatrica et Logopaedica.

Linearity of the function between the sound pressure level of speech and the negative peak amplitude of the differentiated glottal flow for voices of different intensities

P. Alku, E. Vilkman, J. Vintturi, 1999 .

Effects of prolonged oral reading on F0, SPL, subglottal pressure and amplitude characteristics of glottal flow waveforms.

P. Alku, E. Vilkman, E. Sala, 1999, Journal of voice : official journal of the Voice Foundation.

Parameterization of the voice source by combining spectral decay and amplitude features of the glottal flow.

P. Alku, E. Vilkman, A. Laukkanen, 1998, Journal of speech, language, and hearing research : JSLHR.

Visual speech contributes to phonetic learning in 6-month-old infants

R. Aslin, G. Csibra, P. Alku, 2008, Cognition.

Asymmetrical representation of auditory space in human cortex

P. Alku, H. Tiitinen, P. May, 2010, Brain Research.

Deliverable D3.5 Final Evaluation Report

P. Alku, J. Montero, R. Barra-Chicote, 2014 .

Neurophysiologic correlates of deficient phonological representations and object naming in prematurely born children

V. Jäntti, P. Alku, R. Näätänen, 2004, Clinical Neurophysiology.

A comparison of glottal voice source quantification parameters in breathy, normal and pressed phonation of female and male speakers.

P. Alku, E. Vilkman, 1996, Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics.

The role of musical aptitude and language skills in preattentive duration processing in school-aged children

P. Alku, M. Tervaniemi, M. Huotilainen, 2009, Neuroscience Letters.

The role of blind humans’ visual cortex in auditory change detection

P. Alku, R. Näätänen, O. Salonen, 2005, Neuroscience Letters.

Sensitivity of the human auditory cortex to acoustic degradation of speech and non-speech sounds

P. Alku, H. Tiitinen, P. May, 2010, BMC Neuroscience.

Comparing spectrum estimators in speaker verification under additive noise degradation

Paavo Alku, Tomi Kinnunen, Rahim Saeidi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Perception of Phonological Quantity based on Durational Cues by Native Speakers, Second-language Users and Nonspeakers of Finnish

Paavo Alku, Minna Huotilainen, Anna Shestakova, 2005, Language and speech.

Mismatch negativity shows that 3–6-year-old children can learn to discriminate non-native speech sounds within two months

Paavo Alku, Risto Näätänen, Anna Shestakova, 2002, Neuroscience Letters.

Statistical language learning in neonates revealed by event-related brain potentials

Paavo Alku, Risto Näätänen, Minna Huotilainen, 2009, BMC Neuroscience.

Pre-attentive detection of vowel contrasts utilizes both phonetic and auditory memory representations.

R Näätänen, V. Csépe, I. Winkler, 1999, Brain research. Cognitive brain research.

Automatic Auditory Processing of English Words as Indexed by the Mismatch Negativity, Using a Multiple Deviant Paradigm

Paavo Alku, Joseph Kei, Ravi Sockalingam, 2004, Ear and hearing.

Subtitled videos and mismatch negativity (MMN) investigations of spoken word processing.

Paavo Alku, Joseph Kei, Helen J Chenery, 2004, Journal of the American Academy of Audiology.

UTCI ) Comparison of UTCI to selected thermal indices

L. K. Hansen, Ian H. Jermyn, O. Cappé, 2012 .

Vocal-fold collision mass as a differentiator between registers in the low-pitch range.

E Vilkman, P. Alku, E. Vilkman, 1995, Journal of voice : official journal of the Voice Foundation.

Children Learning a Non-native Vowel - The Effect of a Two-day Production Training

Paavo Alku, Maija S. Peltola, Katri Jähi, 2014 .

The effect of different noise types on the speech and non-speech elicited mismatch negativity

E. Toppila, R. Näätänen, P. Alku, 2005, Hearing Research.

Skewing of the glottal flow with respect to the glottal area measured in natural production of vowels.

P. Alku, E. Vilkman, J. Malinen, 2019, The Journal of the Acoustical Society of America.

Perception of emotional valences and activity levels from vowel segments of continuous speech.

Paavo Alku, Anne-Maria Laukkanen, Matti Airas, 2010, Journal of voice : official journal of the Voice Foundation.

Estimating perceived phonatory pressedness in singing from flow glottograms.

Paavo Alku, Erkki Vilkman, Johan Sundberg, 2004, Journal of voice : official journal of the Voice Foundation.

Representation of the vocal roughness of aperiodic speech sounds in the auditory cortex.

Paavo Alku, Hannu Tiitinen, Santeri Yrttiaho, 2009, The Journal of the Acoustical Society of America.

Memory Traces for Words as Revealed by the Mismatch Negativity

Paavo Alku, Risto Näätänen, Friedemann Pulvermüller, 2001, NeuroImage.

Sleeping newborns extract prosody from continuous speech

Paavo Alku, Minna Huotilainen, Vineta Fellman, 2008, Clinical Neurophysiology.

Objective analysis of vocal warm-up with special reference to ergonomic factors.

P. Alku, E. Vilkman, J. Vintturi, 2001, Journal of voice : official journal of the Voice Foundation.

Pilot study on acute voice and throat symptoms related to exposure to organic dust: Preliminary findings from a provocation test

P. Alku, E. Toskala, E. Vilkman, 2009, Logopedics, phoniatrics, vocology.

Long-term exposure to occupational noise alters the cortical organization of sound processing

P. Alku, M. Tervaniemi, E. Brattico, 2005, Clinical Neurophysiology.

The discrimination of and orienting to speech and non-speech sounds in children with autism

Paavo Alku, Risto Näätänen, Minna Huotilainen, 2005, Brain Research.

Assimilation of L2 vowels to L1 phonemes governs L2 learning in adulthood: a behavioral and ERP study

P. Alku, E. Brattico, S. Invitto, 2014, Front. Hum. Neurosci..

Context modulates processing of speech sounds in the right auditory cortex of human subjects

Paavo Alku, Risto Näätänen, Risto J. Ilmoniemi, 2002, Neuroscience Letters.

Fast multi-feature paradigm for recording several mismatch negativities (MMNs) to phonetic and acoustic changes in speech sounds

Paavo Alku, Risto Näätänen, Minna Huotilainen, 2009, Biological Psychology.

Speech signal TEXT Training part Synthesis part Synthesized speech SPEECH DATABASE Text analysis Label Label Parametrization Context dependent HMMs Parameter generation Synthesis Training of HMMs from HMMs

P. Alku, M. Vainio, T. Raitio, 2011 .

Quality Improvement of Telephone Sp Expansion – Listening Tests

P. Alku, Hannu Pulakka, Laura Laaks, 2006 .

Difference in Voice Problems and Noise Reports Between Teachers of Public and Private Schools in Upper Egypt.

P. Alku, A. Geneid, A. Abo-Hasseba, 2017, Journal of voice : official journal of the Voice Foundation.

The Polish Academy of Sciences

L. K. Hansen, Ian H. Jermyn, O. Cappé, 1961, Nature.

Motoric Training Alters Speech Sound Perception and Production — Active Listening Training Does Not Lead into Learning Outcomes

Maija S. Peltola, P. Alku, T. Kujala, 2020 .

Lari Paunonen Measurements in Perceptual Annoyance of Audio Coding Artifacts

P. Alku, Lari Paunonen, 2013 .

Speech Technology and Human - Computer Dialogue (SpeD), 2013 7th Conference on

Paavo Alku, Mikko Kurimo, Dhananjaya N. Gowda, 2013 .

ICASSP The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Paavo Alku, Mikko Kurimo, Ulpu Remes, 2011 .

QuickSig - An object oriented tool for digital signal processing in the IBM-PC-Environment

Paavo Alku, Toomas Altosaar, Matti Karjalainen, 1993 .

Petteri Hyvärinen Utilization of the chirp stimulus in auditory brainstem response measurements

P. Alku, Petteri Hyvärinen, L. Kronlund, 2012 .

High-speed registration of phonation-related glottal area variation during artificial lengthening of the vocal tract

P. Alku, H. Larsson, S. Hertegård, 2007, Logopedics, phoniatrics, vocology.

Detecting inaudible vocal organ changes through glottal inverse filtering.

P. Alku, E. Toskala, E. Vilkman, 2012, Journal of voice : official journal of the Voice Foundation.

Periodic glottal excitation and formant frequencies in the perception of vowels.

P. Alku, H. Tiitinen, P. May, 2004, Neurology & clinical neurophysiology : NCN.

Evidence of the Significance of Secondary Excitations of the Vocal Tract for Vocal Intensity

P. Alku, E. Vilkman, J. Vintturi, 2001, Folia Phoniatrica et Logopaedica.

Edinburgh Explorer Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks

J. Yamagishi, Lauri Juvela, P. Alku, 2016 .

Edinburgh Research Explorer Reducing mismatch in training of DNN-based glottal excitation models in a statistical parametric text-to-speech system

J. Yamagishi, Lauri Juvela, P. Alku, 2017 .

Subjective Evaluation of Basic Emotions from Audio–Visual Data

Sudarsana Reddy Kadiri, P. Alku, 2022, Sensors.

P. Alku, R. Näätänen, R. Čeponien≐, 2003, Clinical Neurophysiology.

Subglottal pressure and normalized amplitude quotient variation in classically trained baritone singers

P. Alku, J. Sundberg, E. Björkner, 2006, Logopedics, phoniatrics, vocology.

Odyssey 2010: The Speaker and Language Recognition Workshop, Brno, Czech Republic, June 28 - July 1, 2010

Haizhou Li, Paavo Alku, Joachim Köhler, 2010, Odyssey.

An amplitude quotient based method to analyze changes in the shape of the glottal pulse in the regulation of vocal intensity.

Paavo Alku, Eva Björkner, Johan Sundberg, 2006, The Journal of the Acoustical Society of America.

7th International Conference on Speech Technology and Human-Computer Dialogue (SpeD 2013), 16-19 Oct 2013, Cluj-Napoca, Romania

Paavo Alku, Mikko Kurimo, Dhananjaya N. Gowda, 2013 .

Method, apparatus and computer program product for providing real glottal pulses in HMM-based text-to-speech synthesis

P. Alku, M. Vainio, T. Raitio, 2013 .

Separated linear prediction Improved spectral modelling by sample grouping

Paavo Alku, Susanna Varho, P. Alku, 2000 .

Voice symptoms of call-centre customer service advisers experienced during a work-day and effects of a short vocal training course

P. Alku, Tomas Bäckström, E. Vilkman, 2005, Logopedics, phoniatrics, vocology.

The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing

Lauri Juvela, Paavo Alku, Tomi Kinnunen, 2016 .

Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types

Paavo Alku, Dong Liu, Anne-Maria Laukkanen, 2017, Biomedical Signal Processing and Control.

Comparing Methods for Quantifying the Voice Source of Different Phonation Types Inverse Filtered from Acoustic Speech Signals

Paavo Alku, E. Vilkman, P. Alku, 1995 .

Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation

P. Alku, O. Räsänen, M. K. Reddy, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Message from the Co-chairs

Philip N. Garner, Keiichiro Oura, K. Tokuda, 2018, The Work Life Balance Bulletin: a DOP Publication.

Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals

Sudarsana Reddy Kadiri, P. Alku, F. Javanmardi, 2022, INTERSPEECH.

Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks

Bajibabu Bollepalli, Paavo Alku, Dhananjaya N. Gowda, 2022, IEEE Access.

Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals

Paavo Alku, Dhananjaya N. Gowda, Sudarsana Reddy Kadiri, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Listen-and-repeat training improves perception of second language vowel duration: Evidence from mismatch negativity (MMN) and N1 responses and behavioral discrimination.

Maija S. Peltola, P. Alku, Antti Saloranta, 2019, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Quasi-closed phase forward-backward linear prediction analysis of speech for accurate formant detection and estimation.

Paavo Alku, Dhananjaya N. Gowda, Manu Airaksinen, 2017, The Journal of the Acoustical Society of America.

Time-Varying Quasi-Closed-Phase Weighted Linear Prediction Analysis of Speech for Accurate Formant Detection and Tracking

Paavo Alku, Dhananjaya N. Gowda, P. Alku, 2016, INTERSPEECH.

Does interest in language learning affect the non-native phoneme production in elderly learners?

Paavo Alku, Maija S. Peltola, Katri Jähi, 2015, ICPhS.

Non-native production training with an acoustic model and orthographic or transcription cues

Paavo Alku, Maija S. Peltola, Henna Tamminen, 2015, ICPhS.

Glottal source processing: From analysis to applications

Abeer Alwan, Paavo Alku, Bayya Yegnanarayana, 2014, Comput. Speech Lang..

Robust spectral representation using group delay function and stabilized weighted linear prediction for additive noise degradations

Paavo Alku, Mikko Kurimo, Dhananjaya N. Gowda, 2013, 2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD).

Robust formant detection using group delay function and stabilized weighted linear prediction

Paavo Alku, Mikko Kurimo, Dhananjaya N. Gowda, 2013, INTERSPEECH.

Auditory discrimination profiles of speech sound changes in 6-year-old children as determined with the multi-feature MMN paradigm

Paavo Alku, Risto Näätänen, Minna Huotilainen, 2009, Clinical Neurophysiology.

Automatic glottal inverse filtering with the Markov chain Monte Carlo method

Paavo Alku, Brad H. Story, Tuomo Raitio, 2014, Comput. Speech Lang..

Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering

Paavo Alku, P. Alku, 1991, Speech Commun..

Majorisation-Minimisation Based Optimisation of the Composite Autoregressive System with Application to Glottal Inverse Filtering

Lauri Juvela, Paavo Alku, Hirokazu Kameoka, 2016, INTERSPEECH.

Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech

Lauri Juvela, Paavo Alku, Okko Johannes Räsänen, 2018, INTERSPEECH.

Mixture Linear Prediction in Speaker Verification Under Vocal Effort Mismatch

Paavo Alku, Tomi Kinnunen, Cemal Hanilçi, 2014, IEEE Signal Processing Letters.

Study of Formant Modification for Children ASR

Paavo Alku, Mikko Kurimo, Hemant Kumar Kathania, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cortical processing of speech sounds and their analogues in a spatial auditory environment.

Paavo Alku, Hannu Tiitinen, Ville Mäkinen, 2002, Brain research. Cognitive brain research.

GlotNet—A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Waveform Generation for Text-to-speech Synthesis Using Pitch-synchronous Multi-scale Generative Adversarial Networks

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

P. Alku, R. Näätänen, R. Čeponienė, 2004, Psychophysiology.

Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

P. Alku, Pabitra Mitra, Madhu Keerthana Yagnavajjula, 2022, Journal of voice : official journal of the Voice Foundation.

Multi-scale modulation filtering in automatic detection of emotions in telephone speech

Paavo Alku, Jouni Pohjalainen, P. Alku, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian mixture linear prediction

Paavo Alku, Jouni Pohjalainen, P. Alku, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic detection of anger in telephone speech with robust autoregressive modulation filtering

Paavo Alku, Jouni Pohjalainen, P. Alku, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

The automatic detection of heart failure using speech signals

Paavo Alku, Mittapalle Kiran Reddy, Y. Madhu Keerthana, 2021, Comput. Speech Lang..

A Comparison of Cepstral Features in the Detection of Pathological Voices by Varying the Input and Filterbank of the Cepstrum Computation

Paavo Alku, Mittapalle Kiran Reddy, P. Alku, 2021, IEEE Access.

The Detection of Parkinson's Disease From Speech Using Voice Source Information

Paavo Alku, Björn Schuller, N.P. Narendra, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Detection of Specific Language Impairment in Children Using Glottal Source Features

Paavo Alku, Mittapalle Kiran Reddy, Krothapalli Sreenivasa Rao, 2020, IEEE Access.

Glottal Source Information for Pathological Voice Detection

Paavo Alku, N. P. Narendra, P. Alku, 2020, IEEE Access.

Quasi Closed Phase Glottal Inverse Filtering Analysis With Weighted Linear Prediction

Paavo Alku, Brad H. Story, Tuomo Raitio, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Data Augmentation Strategies for Neural Network F0 Estimation

Lauri Juvela, Paavo Alku, Okko Räsänen, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech–sound-selective auditory impairment in children with autism: They can perceive but do not attend

R. Näätänen, P. Alku, R. Näätänen, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Group intervention changes brain activity in bilingual language-impaired children.

Paavo Alku, Elina Pihko, Teija Kujala, 2006, Cerebral cortex.

Spectral estimation of voiced speech with regressive linear prediction

Paavo Alku, Susanna Varho, P. Alku, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Lateralisation of auditory processing in Down syndrome: A study of T-complex peaks Ta and Tb

P. Alku, M. Groen, Margriet A. Groen, 2008, Biological Psychology.

AM-FM based filter bank analysis for estimation of spectro-temporal envelopes and its application for speaker recognition in noisy reverberant environments

Paavo Alku, Rahim Saeidi, Dhananjaya N. Gowda, 2015, INTERSPEECH.

Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features

Paavo Alku, N. P. Narendra, P. Alku, 2021, Comput. Speech Lang..

Comparing human and automatic speech recognition in a perceptual restoration experiment

Guy J. Brown, Lauri Juvela, Paavo Alku, 2016, Comput. Speech Lang..

Cortical processing of degraded speech sounds: Effects of distortion type and continuity

Paavo Alku, Patrick J. C. May, Hannu Tiitinen, 2012, NeuroImage.

Responsiveness of the human auditory cortex to degraded speech sounds: Reduction of amplitude resolution vs. additive noise

Paavo Alku, Patrick J. C. May, Hannu Tiitinen, 2011, Brain Research.

Previous exposure to intact speech increases intelligibility of its digitally degraded counterpart as a function of stimulus complexity

Paavo Alku, Iiro P. Jääskeläinen, Emma Jokinen, 2016, NeuroImage.

The mismatch negativity (MMN) response to complex tones and spoken words in individuals with aphasia

Paavo Alku, Joseph Kei, Helen J. Chenery, 2005 .

Neuromagnetic measurement of sound location processing in the human brain

K. Palomäki, P. Alku, H. Tiitinen, 2001 .

Comparison of spectral tilt measures for sentence prominence in speech - Effects of dimensionality and adverse noise conditions

Paavo Alku, Okko Johannes Räsänen, Sofoklis Kakouros, 2018, Speech Commun..

Evaluation of Spectral Tilt Measures for Sentence Prominence Under Different Noise Conditions

Paavo Alku, Okko Johannes Räsänen, Sofoklis Kakouros, 2017, INTERSPEECH.

Fusion of spatially separated vowel formant cues.

Paavo Alku, Tuomo Raitio, Ville Pulkki, 2013, The Journal of the Acoustical Society of America.

Change and novelty detection in speech and non-speech sound streams

Paavo Alku, Teija Kujala, P. Alku, 2010, Brain Research.

Estimation of the Voice Source from Speech Pressure Signals: Evaluation of an Inverse Filtering Technique Using Physical Modelling of Voice Production

Paavo Alku, Matti Airas, Brad Story, 2006, Folia Phoniatrica et Logopaedica.

The Effects of Post-Loading Rest on Acoustic Parameters with Special Reference to Gender and Ergonomic Factors

Paavo Alku, Erkki Vilkman, Juha Vintturi, 2001, Folia Phoniatrica et Logopaedica.

Parabolic spectral parameter - A new method for quantification of the glottal flow

Paavo Alku, Erkki Vilkman, Helmer Strik, 1997, Speech Commun..

PAAPPA-a flexible computer environment for the analysis of the voice source

Paavo Alku, Erkki Vilkman, Eeva Pekkarinen, 1993 .

Measuring the effect of fundamental frequency raising as a strategy for increasing vocal intensity in soft, normal and loud phonation

Paavo Alku, Erkki Vilkman, Juha Vintturi, 2002, Speech Commun..

The use of fundamental frequency raising as a strategy for increasing vocal intensity in soft, normal, and loud phonation

Paavo Alku, Erkki Vilkman, Juha Vintturi, 2001, INTERSPEECH.

On the linearity of the relationship between the sound pressure level and the negative peak amplitude of the differentiated glottal flow in vowel production

Paavo Alku, Erkki Vilkman, Juha Vintturi, 1999, Speech Commun..

Phonetic listen-and-repeat training alters 6–7-year-old children’s non-native vowel contrast production after one training session

Maija S. Peltola, P. Alku, Katja Immonen, 2022, Journal of Second Language Pronunciation.

Does Studying in a Music-oriented Education Program Affect Non-native Sound Learning? — Effects of Passive Auditory Training on Children’s Vowel Production

Maija S. Peltola, P. Alku, Katja Immonen, 2021, Journal of Language Teaching and Research.

Learning of a non-native vowel through instructed production training

Paavo Alku, Maija S. Peltola, Henna Tamminen, 2015, ICPhS.

Orthography does not hinder non-native production learning in children

Maija S. Peltola, P. Alku, Henna Tamminen, 2022, Second Language Research.

P. Alku, P. Paavilainen, M. Jaramillo, 1999 .

Glottal flow characteristics in vowels produced by speakers with heart failure

P. Alku, T. Nieminen, P. Helkkula, 2022, Speech Communication.

Subglottal pressure and NAQ variation in voice production of classically trained baritone singers

Paavo Alku, Eva Björkner, Johan Sundberg, 2005, INTERSPEECH.

Monopitched Expression of Emotions in Different Vowels

Paavo Alku, Anne-Maria Laukkanen, Eero Väyrynen, 2008, Folia Phoniatrica et Logopaedica.

Glottal inverse filtering analysis of human voice production — A review of estimation and parameterization methods of the glottal excitation and their applications

PAAVO ALKU, P. Alku, 2011 .

Glottal features for classification of phonation type from speech and neck surface accelerometer signals

Paavo Alku, Sudarsana Reddy Kadiri, P. Alku, 2021, Comput. Speech Lang..

Analysis and classification of phonation types in speech and singing voice

Paavo Alku, B. Yegnanarayana, Sudarsana Reddy Kadiri, 2020, Speech Commun..

The Polish Academy of Sciences

Takao Hinamoto, Pascal Frossard, Paavo Alku, 1961, Nature.

Sound complexity and 'speechness' effects on pre-attentive auditory discrimination in children.

P. Alku, R. Näätänen, R. Čeponienė, 2002, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

Occupational voice complaints and objective acoustic measurements—do they correlate?

Paavo Alku, Erkki Vilkman, Laura Laaksonen, 2006, Logopedics, phoniatrics, vocology.

Effects of prolonged oral reading on time-based glottal flow waveform parameters with special reference to gender differences.

E Sala, E Vilkman, P. Alku, 1997, Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics.

Loading changes in time-based parameters of glottal flow waveforms in different ergonomic conditions.

E Sala, E Vilkman, P. Alku, 1997, Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics.

Speech processing in the object-oriented DSP environment quicksig

Paavo Alku, Toomas Altosaar, Matti Karjalainen, 1989, EUROSPEECH.

Parameterization of a computational physical model for glottal flow using inverse filtering and high-speed videoendoscopy

Paavo Alku, Jarmo Malinen, Tiina Murtola, 2018, Speech Commun..

Background acoustic noise and the hemispheric lateralization of speech processing in the human brain: magnetic mismatch negativity study

Paavo Alku, Risto Näätänen, Yury Shtyrov, 1998, Neuroscience Letters.

Comparison of post-filtering methods for intelligibility enhancement of telephone speech

Paavo Alku, Martti Vainio, Emma Jokinen, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Effects of prolonged oral reading on spectral decay of the glottal flow

Paavo Alku, Juha Vintturi, Tomas Bäckström, 2000 .

Temporal integration of vowel periodicity in the auditory cortex.

Paavo Alku, Hannu Tiitinen, Santeri Yrttiaho, 2010, The Journal of the Acoustical Society of America.

Regularization of all-pole models for speaker verification under additive noise

Paavo Alku, Tomi Kinnunen, Rahim Saeidi, 2012, Odyssey.

Atypical perceptual narrowing in prematurely born infants is associated with compromised language acquisition at 2 years of age

P. Alku, T. Ruusuvirta, M. Huotilainen, 2010, BMC Neuroscience.

Non-parallel voice conversion using i-vector PLDA: towards unifying speaker verification and transformation

Lauri Juvela, Paavo Alku, Tomi Kinnunen, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Lauri Juvela, Paavo Alku, Sébastien Le Maguer, 2019, Comput. Speech Lang..

Detection of Shouted Speech in the Presence of Ambient Noise

Paavo Alku, Tuomo Raitio, Jouni Pohjalainen, 2011, INTERSPEECH.

Wavelets for intonation modeling in HMM speech synthesis

Paavo Alku, Martti Vainio, Tuomo Raitio, 2013, SSW.

Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference

Paavo Alku, Suryakanth V. Gangashetty, B. Yegnanarayana, 2020, Circuits, Systems, and Signal Processing.

Children's Auditory Event-Related Potentials Index Sound Complexity and “Speechness”

P. Alku, R. Čeponienė, A. Shestakova, 2001, The International journal of neuroscience.

Emotions in Vowel Segments of Continuous Speech: Analysis of the Glottal Flow Using the Normalised Amplitude Quotient

Paavo Alku, Matti Airas, P. Alku, 2006, Phonetica.

The processing of speech and non-speech sounds in aphasic patients as reflected by the mismatch negativity (MMN)

P. Alku, R. Näätänen, O. Salonen, 2004, Neuroscience Letters.

Auditory Event-Related Potentials Measured in Kindergarten Predict Later Reading Problems at School Age

P. Leppänen, H. Lyytinen, P. Alku, 2013, Developmental neuropsychology.

Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis

Lauri Juvela, P. Alku, B. Bollepalli, 2017, INTERSPEECH.

Linguistic multi-feature paradigm as an eligible measure of central auditory processing and novelty detection in 2-year-old children

P. Alku, T. Kujala, E. Jansson-Verkasalo, 2013, Cognitive neuroscience.

Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2019, INTERSPEECH.

The perception of invariant speech features in children with autism

P. Alku, R. Näätänen, M. Huotilainen, 2008, Biological Psychology.

[Children with specific language impairment: electrophysiological and pedaudiological findings].

M. Kiefer, P. Alku, S. Brosch, 2014, Laryngo- rhino- otologie.

Speech‐ and sound‐segmentation in dyslexia: evidence for a multiple‐level cortical impairment

H. Lyytinen, P. Alku, R. Näätänen, 2006, The European journal of neuroscience.

Auditory perception and attention as reflected by the brain event-related potentials in children with Asperger syndrome

P. Alku, R. Näätänen, T. Kujala, 2006, Clinical Neurophysiology.

Adult learners and a one-day production training – Small changes but the native language sound system prevails

Kimmo U. Peltola, Tomi Rautaoja, Paavo Alku, 2017 .

Central Auditory Processing of Durational Changes in Complex Speech Patterns by Newborns: An Event-Related Brain Potential Study

P. Alku, V. Fellman, M. Cheour, 2001, Developmental neuropsychology.

Discrimination of native and non-native vowel contrasts in bilingual Turkish–German and monolingual German children: Insight from the Mismatch Negativity ERP component

M. Kiefer, P. Alku, S. Brosch, 2010, Brain and Language.

Language impairment is reflected in auditory evoked fields.

P. Alku, T. Kujala, E. Pihko, 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

End-to-End Pathological Speech Detection Using Wavelet Scattering Network

P. Alku, Y. Keerthana, M. K. Reddy, 2022, IEEE Signal Processing Letters.

Effects of ergonomic and environmental factors on phonation at a low pitch

P. Alku, E. Vilkman, E. Sala, 1999 .

Parameter-specific modulation of the mismatch negativity to duration decrement and increment: Evidence for asymmetric processes

P. Alku, M. Tervaniemi, R. Näätänen, 2008, Clinical Neurophysiology.

Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference

Sudarsana Reddy Kadiri, B. Yegnanarayana, P. Alku, 2020, Circuits, systems, and signal processing.

Estimation of the glottal source from coded telephone speech using deep neural networks

Paavo Alku, Brad H. Story, N. P. Narendra, 2019, Speech Commun..

Synthesis and perception of breathy, normal, and Lombard speech in the presence of noise

Paavo Alku, Martti Vainio, Tuomo Raitio, 2014, Comput. Speech Lang..

Processing of English words with fine acoustic contrasts and simple tones: a mismatch negativity study.

P. Alku, C. Ponton, J. Kei, 2004, Journal of the American Academy of Audiology.

Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion

Lauri Juvela, Paavo Alku, Shreyas Seshadri, 2019, INTERSPEECH.

Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2019, Speech Commun..

Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention pdf

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2018, ArXiv.

A Comparison Between STRAIGHT, Glottal, and Sinusoidal Vocoding in Statistical Parametric Speech Synthesis

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs

Paavo Alku, Manu Airaksinen, P. Alku, 2017, INTERSPEECH.

Lombard speech synthesis using long short-term memory recurrent neural networks

Bajibabu Bollepalli, Paavo Alku, Manu Airaksinen, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Glottal Vocoding With Frequency-Warped Time-Weighted Linear Prediction

Bajibabu Bollepalli, Paavo Alku, Jouni Pohjalainen, 2017, IEEE Signal Processing Letters.

Frequency-warped time-weighted linear prediction for glottal vocoding

Bajibabu Bollepalli, Paavo Alku, Jouni Pohjalainen, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization

Lauri Juvela, Paavo Alku, Tomas Bäckström, 2016, INTERSPEECH.

GlottDNN - A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis

Lauri Juvela, P. Alku, Zhizheng Wu, 2016, Interspeech.

SYNTHESIS USING LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS

P. Alku, B. Bollepalli, Manu Airaksinen, 2017 .

Neuromagnetic recordings reveal the temporal dynamics of auditory spatial processing in the human cortex

Paavo Alku, Hannu Tiitinen, Kalle J. Palomäki, 2006, Neuroscience Letters.

Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion

Lauri Juvela, Junichi Yamagishi, Shreyas Seshadri, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

OPENGLOT - An open environment for the evaluation of glottal inverse filtering

Paavo Alku, Brad H. Story, Erkki Vilkman, 2019, Speech Commun..

Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning

Lauri Juvela, Paavo Alku, Shreyas Seshadri, 2019, IEEE Access.

Speaker-independent raw waveform model for glottal excitation pdf

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2018, INTERSPEECH.

Reducing Mismatch in Training of DNN-Based Glottal Excitation Models in a Statistical Parametric Text-to-Speech System

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2017, INTERSPEECH.

High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network

Bajibabu Bollepalli, Lauri Juvela, Paavo Alku, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Utilizing glottal source pulse library for generating improved excitation signal for HMM-based speech synthesis

Paavo Alku, Martti Vainio, Tuomo Raitio, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep neural network based trainable voice source model for synthesis of speech with varying vocal effort

Lauri Juvela, Paavo Alku, Martti Vainio, 2014, INTERSPEECH.

Wideband Parametric Speech Synthesis Using Warped Linear Prediction

Paavo Alku, Martti Vainio, Tuomo Raitio, 2012, INTERSPEECH.

HMM-Based Speech Synthesis Utilizing Glottal Inverse Filtering

Paavo Alku, Martti Vainio, Tuomo Raitio, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

The GlottHMM Entry for Blizzard Challenge 2011: Utilizing Source Unit Selection in HMM-Based Speech Synthesis for Improved Excitation Generation

Paavo Alku, Martti Vainio, Tuomo Raitio, 2011 .

The GlottHMM Speech Synthesis Entry for Blizzard Challenge 2010

Paavo Alku, Martti Vainio, Tuomo Raitio, 2010 .

Cortical speech and non‐speech discrimination in relation to cognitive measures in preschool children

P. Alku, T. Kujala, S. Kuuluvainen, 2016, The European journal of neuroscience.

Experiences of a Short Vocal Training Course for Call-Centre Customer Service Advisors

P. Alku, Tomas Bäckström, E. Vilkman, 2003, Folia Phoniatrica et Logopaedica.

Analysis of speech sounds is left-hemisphere predominant at 100-150ms after sound onset.

O Bertrand, R Näätänen, O. Bertrand, 1999, Neuroreport.

Glottal inverse filtering using stabilised weighted linear prediction

Paavo Alku, Yannis Stylianou, George P. Kafentzis, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Sébastien Le Maguer, A. Nautsch, J. Yamagishi, 2019, Comput. Speech Lang..

GELP: GAN-Excited Liner Prediction for Speech Synthesis from Mel-spectrogram

J. Yamagishi, Lauri Juvela, P. Alku, 2019, 1904.03976.

Phase perception of the glottal excitation and its relevance in statistical parametric speech synthesis

Lauri Juvela, Paavo Alku, Martti Vainio, 2016, Speech Commun..

Detection of shouted speech in noise: human and machine.

Paavo Alku, Tuomo Raitio, Santeri Yrttiaho, 2013, The Journal of the Acoustical Society of America.

Shout detection in noise

Paavo Alku, Tomi Kinnunen, Jouni Pohjalainen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A comparison of data augmentation methods in voice pathology detection

Sudarsana Reddy Kadiri, P. Alku, Farhad Javanmardi, 2023, Computer Speech & Language.

Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech

Sudarsana Reddy Kadiri, P. Alku, Farhad Javanmardi, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Utilizing Wav2Vec In Database-Independent Voice Disorder Detection

P. Alku, Farhad Javanmardi, Saska Tirronen, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis and Detection of Pathological Voice Using Glottal Source Features

Paavo Alku, Sudarsana Reddy Kadiri, P. Alku, 2020, IEEE Journal of Selected Topics in Signal Processing.

Parkinson's Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients

Paavo Alku, Sudarsana Reddy Kadiri, Rashmi Kethireddy, 2020, INTERSPEECH.

Changes in objective acoustic measurements and subjective voice complaints in call center customer-service advisors during one working day.

Paavo Alku, Erkki Vilkman, Laura Laaksonen, 2008, Journal of voice : official journal of the Voice Foundation.

Hierarchical Multi-Class Classification of Voice Disorders Using Self-Supervised Models and Glottal Features

Sudarsana Reddy Kadiri, P. Alku, Saska Tirronen, 2023, IEEE Open Journal of Signal Processing.

Inverse filtering of the glottal waveform using the Itakura-saito distortion measure

Paavo Alku, P. Alku, 1992, ICSLP.

The harmonic and noise information of the glottal pulses in speech

Paavo Alku, Ricardo Sousa, Aníbal Ferreira, 2014, Biomed. Signal Process. Control..

Amplitude domain quotient for characterization of the glottal volume velocity waveform estimated by inverse filtering

Paavo Alku, Erkki Vilkman, P. Alku, 1996, Speech Commun..

Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals

Sudarsana Reddy Kadiri, P. Alku, Farhad Javanmardi, 2023, Computer Speech & Language.

Neural realignment of spatially separated sound components.

Paavo Alku, Ville Pulkki, Olli Santala, 2015, The Journal of the Acoustical Society of America.

Quality improvement of telephone speech by artificial bandwidth expansion - listening tests in three languages

Paavo Alku, Hannu Pulakka, Laura Laaksonen, 2006, Interspeech.

Evaluation of an Artificial Speech Bandwidth Extension Method in Three Languages

Paavo Alku, Martti Vainio, Jouni Pohjalainen, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Neural Network-Based Artificial Bandwidth Expansion of Speech

Paavo Alku, Laura Laaksonen, Juho Kontio, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

The effect of highband harmonic structure in the artificial bandwidth expansion of telephone speech

Paavo Alku, Hannu Pulakka, Laura Laaksonen, 2007, INTERSPEECH.

Artificial bandwidth expansion method to improve intelligibility and quality of AMR-coded narrowband speech

Paavo Alku, Laura Laaksonen, Juho Kontio, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Sound localization in the human brain: neuromagnetic observations

Paavo Alku, Hannu Tiitinen, Ville Mäkinen, 2000, Neuroreport.

Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers

Sudarsana Reddy Kadiri, P. Alku, Manila Kodali, 2023, Comput. Speech Lang..

Ergonomic conditions and voice: Paper presented at PEVOC-II conference, August 29-31 1997, in Regensburg, Germany

P. Alku, E. Vilkman, E. Sala, 1998 .

Temporally Weighted Linear Prediction Features for Tackling Additive Noise in Speaker Verification

Paavo Alku, Tomi Kinnunen, Rahim Saeidi, 2010, IEEE Signal Processing Letters.

Extended weighted linear prediction (XLP) analysis of speech and its application to speaker verification in adverse conditions

Paavo Alku, Tomi Kinnunen, Rahim Saeidi, 2010, INTERSPEECH.

Bandwidth Extension of Telephone Speech to Low Frequencies Using Sinusoidal Synthesis and a Gaussian Mixture Model

Paavo Alku, Mikko Kurimo, Ulpu Remes, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels

Paavo Alku, N. P. Narendra, Anil Kumar Vuppala, 2020, Speech Commun..

Automatic intelligibility assessment of dysarthric speech using glottal parameters

Paavo Alku, N. P. Narendra, P. Alku, 2020, Speech Commun..

Dysarthric speech classification from coded telephone speech using glottal features

N. P. Narendra, Paavo Alku, P. Alku, 2019, Speech Commun..

Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences

P. Alku, Narendra Nonavinakere Prabhakera, 2018, INTERSPEECH.

Exemplar-Based Sparse Representations for Detection of Parkinson's Disease From Speech

P. Alku, M. K. Reddy, 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The right-hemispheric auditory cortex in humans is sensitive to degraded speech sounds

Paavo Alku, Lassi A. Liikkanen, Hannu Tiitinen, 2007, Neuroreport.

Extraction and Utilization of Excitation Information of Speech: A Review

Sudarsana Reddy Kadiri, B. Yegnanarayana, P. Alku, 2021, Proceedings of the IEEE.

Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers

Sudarsana Reddy Kadiri, P. Alku, F. Javanmardi, 2022, Interspeech.

Analysis of speech sounds is left-hemisphere predominant at 100-150ms after sound onset.

P. Alku, J. Virtanen, T. Rinne, 1999, Neuroreport.

Speaker recognition for speech under face cover

Paavo Alku, Tomi Kinnunen, Rahim Saeidi, 2015, INTERSPEECH.

On the perception of emotions in speech: the role of voice quality

Paavo Alku, Erkki Vilkman, Anne-Maria Laukkanen, 1997 .

Left-hemispheric brain activity reflects formant transitions in speech sounds

P. Alku, H. Tiitinen, P. May, 2005, Neuroreport.

Perception of emotional valences and activity levels from vowel segments of continuous speech.

P. Alku, M. Airas, A. Laukkanen, 2010, Journal of voice : official journal of the Voice Foundation.

Excitation Features of Speech for Speaker-Specific Emotion Detection

Paavo Alku, Sudarsana Reddy Kadiri, P. Alku, 2020, IEEE Access.

Emotions in [a]: A perceptual and acoustic study

Paavo Alku, Tapio Seppänen, Anne-Maria Laukkanen, 2006, Logopedics, phoniatrics, vocology.

Time-domain parameterization of the closing phase of glottal airflow waveform from voices over a large intensity range

Paavo Alku, Erkki Vilkman, Tomas Bäckström, 2002, IEEE Trans. Speech Audio Process..

Estimation of amplitude features of the glottal flow by inverse filtering speech pressure signals

Paavo Alku, Erkki Vilkman, Anne-Maria Laukkanen, 1998, Speech Commun..

Automatic pre-segmentation of running speech improves the robustness of several acoustic voice measures

Paavo Alku, Erkki Vilkman, Tom Bäckström, 2003, Logopedics, phoniatrics, vocology.

classification from coded telephone speech using glottal features

P. Alku, N. Narendra, 2019 .

Analysis of the voice source in different phonation types: simultaneous high-sped imaging of the vocal fold vibration and glottal inverse filtering

Paavo Alku, Erkki Vilkman, Hannu Pulakka, 2004, INTERSPEECH.

The Linear Predictive Modeling of Speech From Higher-Lag Autocorrelation Coefficients Applied to Noise-Robust Speaker Recognition

Paavo Alku, Rahim Saeidi, P. Alku, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Bandwidth Extension of Telephone Speech Using a Neural Network and a Filter Bank Implementation for Highband Mel Spectrum

Paavo Alku, Hannu Pulakka, P. Alku, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Stabilised weighted linear prediction

Paavo Alku, Jouni Pohjalainen, Tomas Bäckström, 2009, Speech Commun..

Enhancing noise robustness in automatic speech recognition using stabilized weighted linear prediction (SWLP)

Paavo Alku, Jouni Pohjalainen, Carlo Magi, 2008 .

Stabilised weighted linear prediction - a robust all-pole method for speech processing

Paavo Alku, Tomas Bäckström, Carlo Magi, 2007, INTERSPEECH.

Change and novelty detection in speech and non-speech sound streams

P. Alku, T. Kujala, Alexander Sorokin, 2010, Brain Research.

A Comparison of Cepstral Features in the Detection of Pathological Voices by Varying the Input and Filterbank of the Cepstrum Computation

P. Alku, M. K. Reddy, 2021, IEEE Access.

Magnetic fields evoked by speech sounds in preschool children

P. Alku, T. Kujala, E. Pihko, 2005, Clinical Neurophysiology.

Deficient speech-sound processing, as shown by the electrophysiologic brain mismatch negativity response, and naming ability in prematurely born children

P. Alku, R. Näätänen, R. Čeponien≐, 2003, Neuroscience Letters.

Cortical sensitivity to periodicity of speech sounds.

Paavo Alku, Hannu Tiitinen, Santeri Yrttiaho, 2008, The Journal of the Acoustical Society of America.

A formant modification method for improved ASR of children's speech

Sudarsana Reddy Kadiri, P. Alku, M. Kurimo, 2022, Speech Commun..

Using Data Augmentation and Time-Scale Modification to Improve ASR of Children’s Speech in Noisy Environments

Sudarsana Reddy Kadiri, P. Alku, M. Kurimo, 2021, Applied Sciences.

Publication IV

P. Alku, 2008 .

Spectral modification for recognition of children’s speech undermismatched conditions

Sudarsana Reddy Kadiri, P. Alku, M. Kurimo, 2021, NODALIDA.

Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs

Lauri Juvela, Paavo Alku, Okko Johannes Räsänen, 2017, INTERSPEECH.

The effects of healthy aging on auditory processing in humans as indexed by transient brain responses

P. Alku, E. Pekkonen, H. Tiitinen, 2010, Clinical Neurophysiology.

The cortical processing of rising-intensity tonal and speech stimuli in young adults: Effects of spectral complexity

P. Alku, E. Pekkonen, H. Tiitinen, 2007 .

Estimation of the glottal pulseform based on discrete all-pole modeling

Paavo Alku, Erkki Vilkman, P. Alku, 1994, ICSLP.

Edinburgh Research Explorer HMM-Based Speech Synthesis Utilizing Glottal Inverse Filtering

J. Yamagishi, P. Alku, M. Vainio, 2022 .

Comparison of formant enhancement methods for HMM-based speech synthesis

Paavo Alku, Martti Vainio, Tuomo Raitio, 2010, SSW.

Classification of functional dysphonia using the tunable Q wavelet transform

P. Alku, Y. Keerthana, M. K. Reddy, 2023, Speech Commun..

A toolkit for voice inverse filtering and parametrisation

Paavo Alku, Hannu Pulakka, Tomas Bäckström, 2005, INTERSPEECH.

AVID: A speech database for machine learning studies on vocal intensity

Sudarsana Reddy Kadiri, P. Alku, Laura Laaksonen, 2024, Speech Communication.

Voice source modelling using deep neural networks for statistical parametric speech synthesis

Paavo Alku, Martti Vainio, John Kane, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

HMM-based Finnish text-to-speech system utilizing glottal inverse filtering

Paavo Alku, Martti Vainio, Tuomo Raitio, 2008, INTERSPEECH.