E. Nöth

J. R. Orozco-Arroyave, M. Schuster, E. Nöth, 2019, Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde.

Analytical Solution for the Optimal Addition of an Item to a Composite of Scores for Maximum Reliability

Elmar Nöth, Carlos A. Ferrer-Riesgo, Alberto Taboada-Crispí, 2019, CIARP.

Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, IEEE Journal of Biomedical and Health Informatics.

Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, International Conference on Text, Speech and Dialogue.

A spoken dialog system for learners of English

Elmar Nöth, Florian Hönig, Anton Batliner, 2009, Slate.

Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Scoring and Re-Ranking of ASR Hypotheses Using Phoneme Error Models

Martin Hacker, Elmar Nöth, E. Nöth, 2014, ITG Symposium on Speech Communication.

The Gesture Interpretation Module

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2006, SmartKom.

Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis

Elmar Nöth, Tino Haderlein, Martin Ptok, 2015, Comput. Math. Methods Medicine.

Objective vs. Subjective Evaluation of Speakers with and without Complete Dentures

Elmar Nöth, Andreas K. Maier, Tino Haderlein, 2009, TSD.

2 Architecture of the National SQEL Demonstrators

H. Niemann, E. Nöth, S. Harbeck, 2007 .

Factors influencing relative speech intelligibility in patients with oral squamous cell carcinoma: a prospective study using automatic, computer-based speech analysis.

M. Schuster, E. Nöth, T. Bocklet, 2013, International journal of oral and maxillofacial surgery.

Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions

J. R. Orozco-Arroyave, Gabriel F. Miller, E. Nöth, 2022, ArXiv.

A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

Elmar Nöth, Björn W. Schuller, Florian Eyben, 2015, Comput. Speech Lang..

Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer’s Disease

J. C. Vásquez-Correa, J. R. Orozco-Arroyave, T. Arias-Vergara, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Influence of Dataset Partitioning on Dysfluency Detection Systems

E. Nöth, T. Bocklet, K. Riedhammer, 2022, TSD.

Language-Independent Automatic Evaluation of Intelligibility of Chronically Hoarse Persons

E. Nöth, M. Döllinger, J. Martens, 2015, Folia Phoniatrica et Logopaedica.

Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing

Juan Camilo Vásquez-Correa, T. Arias-Vergara, M. Schuster, 2022, Speech Commun..

Adult Cochlear Implant Users Versus Typical Hearing Persons: An Automatic Analysis of Acoustic-Prosodic Parameters.

T. Arias-Vergara, M. Schuster, E. Nöth, 2022, Journal of speech, language, and hearing research : JSLHR.

End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data

J. C. Vásquez-Correa, T. Arias-Vergara, E. Nöth, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity

Elmar Nöth, Björn Schuller, Sebastian Schnieder, 2019, INTERSPEECH.

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Taking into account the user2s focus of attention with the help of audio-visual information: towards less artificial human-machine-communication

Elmar Nöth, Christian Hacker, Anton Batliner, 2007, AVSP.

Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units

Elmar Nöth, Juan Camilo Vásquez-Correa, J. C. Vásquez-Correa, 2020, Digit. Signal Process..

Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms

Elmar Nöth, Carlos A. Ferrer-Riesgo, Reinier Rodríguez Guillén, 2019, CIARP.

Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies

Elmar Nöth, Juan Camilo Vásquez-Correa, Manfred Stede, 2019, ACL.

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Automatic detection of Parkinson's disease in running speech spoken in three different languages.

J R Orozco-Arroyave, F Hönig, J D Arias-Londoño, 2016, The Journal of the Acoustical Society of America.

Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan Camilo Vásquez-Correa, 2016, Recent Advances in Nonlinear Speech Processing.

Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2016, ITG Symposium on Speech Communication.

Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech

Elmar Nöth, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, 2015, TSD.

Automatic Detection of Parkinson's Disease from Compressed Speech Recordings

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, TSD.

Automatic Detection of Parkinson's Disease in Reverberant Environments

Elmar Nöth, Tino Haderlein, Juan R. Orozco-Arroyave, 2015, TSD.

Emotion recognition from speech under environmental noise conditions using wavelet decomposition

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, 2015 International Carnahan Conference on Security Technology (ICCST).

New computer aided device for real time analysis of speech of people with Parkinson's disease

Elmar Nöth, Julián D. Arias-Londoño, J. D. Arias-Londoño, 2014 .

Automatic detection of parkinson's disease from words uttered in three different languages

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2014, INTERSPEECH.

Automatic Rating of Hoarseness by Text-based Cepstral and Prosodic Evaluation

Elmar Nöth, Tino Haderlein, Bernd Möbius, 2012, TSD.

Vowel- and text-based cepstral analysis of chronic hoarseness.

Elmar Nöth, Tino Haderlein, Frank Rosanowski, 2012, Journal of voice : official journal of the Voice Foundation.

Analysis of Hypernasal Speech in Children with Cleft Lip and Palate

Elmar Nöth, Andreas K. Maier, Christian Hacker, 2008, TSD.

Automatic modelling of depressed speech: relevant features and relevance of gender

Elmar Nöth, Florian Hönig, Sebastian Schnieder, 2014, INTERSPEECH.

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

Elmar Nöth, Julian Fritsch, Sebastian Wankerl, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge

J. C. Vásquez-Correa, T. Arias-Vergara, M. Schuster, 2021, Interspeech.

Robust pitch period detection using dynamic programming with an ANN cost function

Elmar Nöth, Heinrich Niemann, Stefan Harbeck, 1995, EUROSPEECH.

Statistical Modeling of Segmental and Suprasegmental Information

Elmar Nöth, Thomas Kuhn, Heinrich Niemann, 1995 .

Voice Source State as a Source of Information in Speech Recognition: Detection of Laryngealizations

E. Nöth, H. Niemann, A. Kießling, 1995 .

Going back to the source: inverse filtering of the speech signal with ANNs

Joachim Denzler, Elmar Nöth, Heinrich Niemann, 1993, EUROSPEECH.

DP-based determination of F/sub 0/ contours from speech signals

Elmar Nöth, Anton Batliner, Heinrich Niemann, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

How to Add Word Classes to the Kaldi Speech Recognition Toolkit

Elmar Nöth, Axel Horndasch, Caroline Kaufhold, 2016, TSD.

Combining Semantic Word Classes and Sub-Word Unit Speech Recognition for Robust OOV Detection

Elmar Nöth, Anton Batliner, Axel Horndasch, 2016, INTERSPEECH.

Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Tino Haderlein, 2014, TSD.

Analysis of Speech from People with Parkinson's Disease through Nonlinear Dynamics

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2013, NOLISP.

Perceptual Analysis of Speech Signals from People with Parkinson's Disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2013, IWINAC.

Adaptation in the pronunciation space for non-native speech recognition

Elmar Nöth, Christian Hacker, Stefan Steidl, 2004, INTERSPEECH.

ANN-based Alzheimer's disease classification from bag of words

Elmar Nöth, Julian Fritsch, Philipp Klumpp, 2018, ITG Symposium on Speech Communication.

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Elmar Nöth, Tino Haderlein, Juan Camilo Vásquez-Correa, 2019, INTERSPEECH.

Associating children's non-verbal and verbal behaviour: Body movements, emotions, and laughter in a human-robot interaction

Elmar Nöth, Anton Batliner, Stefan Steidl, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Age and gender recognition based on multiple systems - early vs. late fusion

Elmar Nöth, Georg Stemmer, Tobias Bocklet, 2010, INTERSPEECH.

PEAKS - A system for the automatic evaluation of voice and speech disorders

Elmar Nöth, Andreas K. Maier, Tino Haderlein, 2009, Speech Commun..

Private emotions versus social interaction: a data-driven approach towards analysing emotion in speech

Elmar Nöth, Christian Hacker, Anton Batliner, 2008, User Modeling and User-Adapted Interaction.

A Taxonomy of Applications that Utilize Emotional Awareness

Elmar Nöth, Anton Batliner, Felix Burkhardt, 2006 .

How to find trouble in communication

Elmar Nöth, Anton Batliner, Richard Huber, 2003, Speech Commun..

On the use of prosody in automatic dialogue understanding

Elmar Nöth, Heinrich Niemann, Manuela Boros, 2002, Speech Commun..

Whence and Whither Prosody in Automatic Speech Understanding: A Case Study

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2002 .

VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2000, IEEE Trans. Speech Audio Process..

Automatic Quantification of Speech Intelligibility of Adults with Oral Squamous Cell Carcinoma

E. Nöth, E. Nkenke, U. Eysholdt, 2008, Folia Phoniatrica et Logopaedica.

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

Elmar Nöth, Juan Camilo Vásquez-Correa, J. C. Vásquez-Correa, 2019, INTERSPEECH.

Interpolated markov chains for eukaryotic promoter recognition

Elmar Nöth, Heinrich Niemann, Stefan Harbeck, 1999, Bioinform..

[Intelligibility of children with bilateral and unilateral cleft lip and palate].

M. Schuster, E. Nöth, A. Schützenberger, 2009, Laryngo- rhino- otologie.

Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0

E. Nöth, K. Riedhammer, Dominik Wagner, 2022, INTERSPEECH.

Detection of different voice diseases based on the nonlinear characterization of speech signals

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2017, Expert Syst. Appl..

Age Determination of Children in Preschool and Primary School Age with GMM-Based Supervectors and Support Vector Machines/Regression

Elmar Nöth, Andreas K. Maier, Tobias Bocklet, 2008, TSD.

Integrated recognition of words and prosodic phrase boundaries

Elmar Nöth, Heinrich Niemann, Florian Gallwitz, 2002, Speech Commun..

M = Syntax + Prosody: A syntactic-prosodic labelling scheme for large spontaneous speech databases

Elmar Nöth, Heinrich Niemann, Anton Batliner, 1998, Speech Commun..

Prosodic Modules for Speech Recognition and Understanding in VERBMOBIL

Elmar Nöth, Anton Batliner, Ralf Kompe, 1997, Computing Prosody.

Prosodic features in German speech: stress assignment by man and machine

E. Nöth, H. Niemann, S. Schmölz, 1988 .

New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2014, LREC.

Islands of failure: employing word accent information for pronunciation quality assessment of English L2 learners

Elmar Nöth, Florian Hönig, Anton Batliner, 2009, SLaTE.

Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

Elmar Nöth, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, 2020, Nonlinear Dynamics.

Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

J. C. Vásquez-Correa, T. Arias-Vergara, E. Nöth, 2020, Nonlinear Dynamics.

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, WEA.

Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, Expert Syst. J. Knowl. Eng..

Effects of Vocal Aging on Fundamental Frequency and Formants

E. Nöth, F. Hönig, T. Haderlein, 2009 .

Vocal Aging Explained by Vocal Tract Modelling: 2008 JHU Summer Workshop Final Report 1

Elmar Nöth, Stephen Shum, Werner Spiegl, 2008 .

How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease

Elmar Nöth, Agustín Ibáñez, Guillermo A. Cecchi, 2016, Brain and Language.

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

Elmar Nöth, Juan Camilo Vásquez-Correa, Björn Eskofier, 2019, IEEE Journal of Biomedical and Health Informatics.

Prosodic models, automatic speech understanding, and speech synthesis: towards the common ground

Elmar Nöth, Anton Batliner, Antje Schweitzer, 2001, INTERSPEECH.

The Recognition of Emotion

Elmar Nöth, Heinrich Niemann, Kerstin Fischer, 2000 .

To talk or not to talk with a computer

Elmar Nöth, Christian Hacker, Anton Batliner, 2008, Journal on Multimodal User Interfaces.

Prosodic Classification of Offtalk: First Experiments

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2002, TSD.

Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction

J. C. Vásquez-Correa, L. Van den Steen, E. Nöth, 2021, International journal of language & communication disorders.

Dialog act classification with the help of prosody

Elmar Nöth, Heinrich Niemann, Ernst Günter Schukat-Talamazzini, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Integrated dialog act segmentation and classification using prosodic features and language models

Elmar Nöth, Heinrich Niemann, Volker Warnke, 1997, EUROSPEECH.

MOBSY: Integration of vision and dialogue in service robots

Joachim Denzler, Elmar Nöth, Dietrich Paulus, 2001, Machine Vision and Applications.

Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Tino Haderlein, 2016, TSD.

Low-frequency components analysis in running speech for the automatic detection of parkinson's disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Word Accent and Emotion

Anton Batliner, Stefan Steidl, Dino Seppi, 2010 .

Tales of tuning - prototyping for automatic classification of emotional user states

Elmar Nöth, Heinrich Niemann, Christian Hacker, 2005, INTERSPEECH.

We are not amused - but how do you know? user states in a multi-modal dialogue system

Elmar Nöth, Anton Batliner, Viktor Zeißler, 2003, INTERSPEECH.

"Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Classification of stuttering - The ComParE challenge and beyond

E. Nöth, A. Batliner, B. Schuller, 2023, Comput. Speech Lang..

KSoF: The Kassel State of Fluency Dataset – A Therapy Centered Dataset of Stuttering

E. Nöth, K. Riedhammer, F. Hönig, 2022, LREC.

Erlangen-CLP: A Large Annotated Corpus of Speech from Children with Cleft Lip and Palate

Elmar Nöth, Andreas K. Maier, Tobias Bocklet, 2014, LREC.

[Perceptual and automatic voice and speech analysis of chronic laryngitis and T1 vocal cord cancer].

E. Nöth, M. Döllinger, U. Eysholdt, 2013, HNO.

A scalable architecture for multilingual speech recognition on embedded devices

Elmar Nöth, Martin Raab, Rainer Gruhn, 2011, Speech Commun..

Optimal projections between Gaussian Mixture Feature Spaces for Multilingual Speech Recognition

E. Nöth, E. Nöth, O. Schreiner, 2009 .

The INTERSPEECH 2012 Speaker Trait Challenge

Elmar Nöth, Björn W. Schuller, Florian Eyben, 2012, INTERSPEECH.

Fast and Robust Features for Prosodic Classification

Elmar Nöth, Heinrich Niemann, Anton Batliner, 1999, TSD.

A MULTILINGUAL PROSODY MODULE IN A SPEECH–TO–SPEECH TRANSLATION SYSTEM

Elmar Nöth, Heinrich Niemann, Volker Warnke, 2007 .

Automatic Preparation of Standard Arabic Phonetically Rich Written Corpora with Different Linguistic Units

Elmar Nöth, Tino Haderlein, Firas Mualla, 2017, TSD.

Quantification of Segmentation and F0 Errors and Their Effect on Emotion Recognition

Elmar Nöth, Joachim Hornegger, Anton Batliner, 2008, TSD.

“You Stupid Tin Box” - Children Interacting with the AIBO Robot: A Cross-linguistic Emotional Speech Corpus

Elmar Nöth, Martin J. Russell, Anton Batliner, 2004, LREC.

Multimodal User State Recognition in a Modern Dialogue System

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2003, KI.

Automatic Pixel Selection for Optimizing Facial Expression Recognition Using Eigenfaces

Elmar Nöth, Carmen Frank, E. Nöth, 2003, DAGM-Symposium.

Optimizing Eigenfaces by Face Masks for Facial Expression Recognition

Elmar Nöth, Carmen Frank, E. Nöth, 2003, CAIP.

The Facial Expression Module

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2006, SmartKom.

Automatic Detection of Parkinson's Disease Based on Modulated Vowels

Elmar Nöth, Juan R. Orozco-Arroyave, Andrzej Skalski, 2016, INTERSPEECH.

Experiences with Commercial Telephone-based Dialogue Systems (Erfahrungen mit kommerziellen Telefon-Sprachdialogsystemen)

Elmar Nöth, Axel Horndasch, Jürgen Haas, 2004, it Inf. Technol..

“Looks do matter”—visual attentional biases in adolescent girls with eating disorders viewing body images

E. Nöth, H. Heinrich, G. Moll, 2012, Psychiatry Research.

How many speakers, how many texts - the automatic assessment of non-native prosody

Elmar Nöth, Florian Hönig, Anton Batliner, 2015, SLaTE.

Acoustic-Prosodic Characteristics of Sleepy Speech - Between Performance and Interpretation

Elmar Nöth, Florian Hönig, Sebastian Schnieder, 2014 .

Language Identification in the Context of Automatic Speech Understanding

Elmar Nöth, Heinrich Niemann, Stefan Harbeck, 1996 .

Hypernasality in Speech of Children with Cleft Lip and Palate: Automatic Evaluation

Elmar Nöth, Tino Haderlein, Maria Schuster, 2008 .

Automatic Transformation of Speech Databases for Continuous Speech Recognition

Elmar Nöth, Ernst Günter Schukat-Talamazzini, Thomas Kuhn, 1992 .

ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning

Ammie K. Kalan, J. Tougaard, E. Nöth, 2022, Scientific reports.

ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication

Elmar Nöth, Manuel Schmitt, Andreas Maier, 2020, INTERSPEECH.

ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

Elmar Nöth, Andreas Maier, Michael Weber, 2019, Scientific Reports.

Context-dependent output densities for hidden Markov models in speech recognition

Elmar Nöth, Heinrich Niemann, Christian Hacker, 2003, INTERSPEECH.

Are men more sleepy than women or does it only look like — Automatic analysis of sleepy speech

Elmar Nöth, Florian Hönig, Sebastian Schnieder, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach

T. Arias-Vergara, M. Schuster, E. Nöth, 2021, Movement disorders : official journal of the Movement Disorder Society.

User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care

Tobias Bocklet, Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2021, IEEE Transactions on Affective Computing.

Emotional State Modeling for the Assessment of Depression in Parkinson's Disease

Elmar Nöth, Maria Schuster, Juan R. Orozco-Arroyave, 2021, TDS.

An N-Gram Based Approach to the Automatic Diagnosis of Alzheimer's Disease from Spoken Language

Elmar Nöth, Stefan Evert, Sebastian Wankerl, 2017, INTERSPEECH.

Automatic detection of articulation disorders in children with cleft lip and palate.

Elmar Nöth, Emeka Nkenke, Maria Schuster, 2009, The Journal of the Acoustical Society of America.

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, INTERSPEECH.

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

Heidi Christensen, Elmar Nöth, Milos Cernak, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parkinson's Disease Progression Assessment from Speech Using GMM-UBM

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2016, INTERSPEECH.

Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises

Elmar Nöth, Juan Camilo Vásquez-Correa, J. C. Vásquez-Correa, 2020, TDS.

ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning

E. Nöth, A. Maier, Christian Bergler, 2022, INTERSPEECH.

The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition

Elmar Nöth, Björn W. Schuller, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Subtext Word Accuracy and Prosodic Features for Automatic Intelligibility Assessment

Elmar Nöth, Tino Haderlein, Michael Döllinger, 2018, TSD.

Influence of Reverberation on Automatic Evaluation of Intelligibility with Prosodic Features

Elmar Nöth, Tino Haderlein, Michael Döllinger, 2016, TSD.

Objective voice and speech analysis of persons with chronic hoarseness by prosodic analysis of speech samples

Elmar Nöth, Tino Haderlein, Michael Döllinger, 2016, Logopedics, phoniatrics, vocology.

Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features

Elmar Nöth, Tino Haderlein, Florian Hönig, 2015, TSD.

Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

Elmar Nöth, Juan R. Orozco-Arroyave, Marek Wodzinski, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition

E. Nöth, A. Maier, P. A. Pérez-Toro, 2022, INTERSPEECH.

Discriminative estimation of interpolation parameters for language model classifiers

Elmar Nöth, Heinrich Niemann, Stefan Harbeck, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Natural Language Analysis to Detect Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2019, TSD.

Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson’s disease

Elmar Nöth, J. C. Vásquez-Correa, Juan Rafael Orozco-Arroyave, 2020 .

E. Nöth, Marti Hacker, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Elmar Nöth, Sridhar Krishnan, Juan Camilo Vásquez-Correa, 2019, INTERSPEECH.

Automatic intelligibility assessment of pathologic speech over the telephone

Elmar Nöth, Tino Haderlein, Frank Rosanowski, 2011, Logopedics, phoniatrics, vocology.

A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem

E. Nöth, T. Bocklet, K. Riedhammer, 2023, INTERSPEECH 2023.

Dysfluencies Seldom Come Alone - Detection as a Multi-Label Problem

E. Nöth, T. Bocklet, K. Riedhammer, 2022, ArXiv.

Reliable Detection of Important Word Boundaries Using Prosodic Features

Elmar Nöth, Georg Stemmer, Caroline Kaufhold, 2011, TSD.

Aspects of named entity processing

Elmar Nöth, Hiyan Alshawi, Patrick Haffner, 2004, INTERSPEECH.

Using EM-trained string-edit distances for approximate matching of acoustic morphemes

Elmar Nöth, Allen L. Gorin, Michael Levit, 2002, INTERSPEECH.

Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, INTERSPEECH.

Can You Tell Apart Spontaneous and Read Speech if You just Look at Prosody

E. Nöth, H. Niemann, A. Kießling, 1995 .

Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets

T. Arias-Vergara, M. Schuster, E. Nöth, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Boosting of Prosodic and Pronunciation Features to Detect Mispronunciations of Non-Native Children

Elmar Nöth, Andreas K. Maier, Christian Hacker, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

An Analysis of Perplexity to Reveal the Effects of Alzheimer's Disease on Language

Elmar Nöth, Stefan Evert, Sebastian Wankerl, 2016, ITG Symposium on Speech Communication.

Real-time Recognition of the Affective User State with Physiological Signals

Elmar Nöth, Florian Hönig, Anton Batliner, 2022 .

On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease

J. C. Vásquez-Correa, M. Magimai.-Doss, E. Nöth, 2021, Interspeech.

Identifying failure root causes by visualizing parameter interdependencies with spectrograms

Elmar Nöth, Peter Schuderer, Toni Donhauser, 2019, Journal of Manufacturing Systems.

Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2019, Comput. Methods Programs Biomed..

Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, Speech Commun..

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features

Elmar Nöth, Milos Cernak, Frank Rudzicz, 2017, Comput. Speech Lang..

Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors

E. Nöth, J. Rusz, J. Orozco-Arroyave, 2023, INTERSPEECH 2023.

Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages

Elmar Nöth, Maria Schuster, Juan Camilo Vásquez-Correa, 2021, Pattern Recognit. Lett..

Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients

J. C. Vásquez-Correa, E. Nöth, T. Bocklet, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2019, CIARP.

Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, WEA.

Phonological i-Vectors to Detect Parkinson's Disease

Elmar Nöth, Milos Cernak, Juan R. Orozco-Arroyave, 2018, TSD.

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease

Elmar Nöth, Milos Cernak, Juan R. Orozco-Arroyave, 2018, TSD.

A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, INTERSPEECH.

Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia

Elmar Nöth, Sridhar Krishnan, Alice Rueda, 2022, Comput. Speech Lang..

Laryngealizations and Emotions : How Many Babushkas ?

E. Nöth, S. Steidl, A. Batliner, 2007 .

The phonetic footprint of Parkinson's disease pdf

Elmar Nöth, Anton Batliner, Paula Andrea Pérez-Toro, 2021, Comput. Speech Lang..

How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease

M. Sigman, G. Cecchi, E. Nöth, 2016, Brain and Language.

Is Speech Pathology a Biomarker in Automatic Speaker Verification?

Soroosh Tayebi Arasteh, M. Schuster, E. Nöth, 2022, ArXiv.

Apkinson - A Mobile Monitoring Solution for Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, INTERSPEECH.

Evaluation of GOI Detectors in EGG Signals Assuming Different Models for the Pulse Length Variability

Elmar Nöth, Carlos A. Ferrer-Riesgo, Reinier Rodríguez Guillén, 2021, IWAIPR.

An automatic screening test for preschool children: theory and data collection

Elmar Nöth, Andreas K. Maier, Maria Schuster, 2009, WOCCI.

Automatic phoneme analysis in children with Cleft Lip and Palate

Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Intelligibility of Children with Cleft Lip and Palate: Evaluation by Speech Recognition Techniques

Elmar Nöth, Andreas K. Maier, Christian Hacker, 2006, 18th International Conference on Pattern Recognition (ICPR'06).