Manu Airaksinen

发表

Speech Waveform Synthesis from MFCC Sequences with Generative Adversarial Networks

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

An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring

S. Vanhatalo, Manu Airaksinen, T. Kirjavainen, 2021, Frontiers in Neuroscience.

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition

Manu Airaksinen, Okko Rasanen, Einari Vaaras, 2022, 2206.10188.

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 .

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants

O. Räsänen, S. Vanhatalo, Manu Airaksinen, 2022, Communications Medicine.

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition

O. Räsänen, Manu Airaksinen, Einari Vaaras, 2022, INTERSPEECH.

Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors

O. Räsänen, S. Vanhatalo, Manu Airaksinen, 2019, Scientific Reports.

An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.

S. Vanhatalo, Manu Airaksinen, L. Hellström-Westas, 2022, The Lancet. Digital health.

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.

Automatic glottal inverse filtering with the Markov chain Monte Carlo method

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

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.

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).

Charting infants’ motor development at home using a wearable system: validation and comparison to physical growth charts

O. Räsänen, S. Vanhatalo, Manu Airaksinen, 2023, EBioMedicine.

Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization

S. Vanhatalo, Manu Airaksinen, E. Tam, 2021, Frontiers in Human Neuroscience.

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

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

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

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

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 .

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

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

Speaker-independent raw waveform model for glottal excitation pdf

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

The NII speech synthesis entry for Blizzard Challenge 2016

Lauri Juvela, Xin Wang, Junichi Yamagishi, 2016 .

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).

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors pdf

Okko Johannes Räsänen, Sampsa Vanhatalo, Manu Airaksinen, 2021, Sensors.

User Experience of Wearable Infant Sleep Monitoring System for Medical Research and Diagnostics

S. Vanhatalo, Manu Airaksinen, L. Haataja, 2019 .

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors

O. Räsänen, S. Vanhatalo, Manu Airaksinen, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).