Mathew Magimai-Doss

发表

Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2016, Speech Commun..

Long-Term Spectral Statistics for Voice Presentation Attack Detection

Sébastien Marcel, Pavel Korshunov, Mathew Magimai-Doss, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Mathew Magimai-Doss, S. Pavankumar Dubagunta, Selen Hande Kabil, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification

Mathew Magimai-Doss, S. Pavankumar Dubagunta, 2019, INTERSPEECH.

HMM-Based Non-Native Accent Assessment Using Posterior Features

Milos Cernak, Ramya Rasipuram, Mathew Magimai-Doss, 2016, INTERSPEECH.

Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator

Hynek Hermansky, Hervé Bourlard, Garimella S. V. S. Sivaram, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model

Ramya Rasipuram, Mathew Magimai-Doss, 2015, Speech Commun..

Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array

Longbiao Wang, Yicong Zhou, Weifeng Li, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation

Ramya Rasipuram, Mathew Magimai-Doss, 2012, INTERSPEECH.

End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2019, Speech Commun..

Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic

Ramya Rasipuram, Mathew Magimai-Doss, Peter Bell, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Analysis and Comparison of Recent MLP Features for LVCSR Systems

Wen Wang, Mathew Magimai-Doss, Fabio Valente, 2011, INTERSPEECH.

Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification

Sébastien Marcel, Mathew Magimai-Doss, Hannah Muckenhirn, 2016, 2016 International Conference of the Biometrics Special Interest Group (BIOSIG).

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Hervé Bourlard, Philip N. Garner, Mathew Magimai-Doss, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Improving speech translation with automatic boundary prediction

Dilek Z. Hakkani-Tür, Hermann Ney, Mari Ostendorf, 2007, INTERSPEECH.

MLP-based log spectral energy mapping for robust overlapping speech recognition

Weifeng Li, Hervé Bourlard, Mathew Magimai-Doss, 2008, 2008 16th European Signal Processing Conference.

Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Phase AutoCorrelation (PAC) features for noise robust speech recognition

Hynek Hermansky, Shajith Ikbal, Hemant Misra, 2012, Speech Commun..

Towards mixed language speech recognition systems

Hervé Bourlard, Mathew Magimai-Doss, David Imseng, 2010, INTERSPEECH.

Non-linear mapping for multi-channel speech separation and robust overlapping spech recognition

Weifeng Li, Hervé Bourlard, Mathew Magimai-Doss, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Generalized Dynamic Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition

Mathew Magimai-Doss, John Dines, Octavian Cheng, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Synthetic References for Template-based ASR using posterior features

Hervé Bourlard, Mathew Magimai-Doss, Serena Soldo, 2012, INTERSPEECH.

A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems

Mathew Magimai-Doss, John Dines, 2007, MLMI.

Joint detection and localization of multiple speakers using a probabilistic interpretation of the steered response power

Friedrich Faubel, Dietrich Klakow, Mathew Magimai-Doss, 2012, SAPA@INTERSPEECH.

Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery

Marzieh Razavi, Mathew Magimai-Doss, 2016, INTERSPEECH.

Joint phoneme segmentation inference and classification using CRFs

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Posterior features applied to speech recognition tasks with user-defined vocabulary

Hervé Bourlard, Guillermo Aradilla, Mathew Magimai-Doss, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Spectro-temporal activity pattern (STAP) features for noise robust ASR

Hervé Bourlard, Shajith Ikbal, Hemant Misra, 2004, INTERSPEECH.

SMILE Swiss German Sign Language Dataset

Sarah Ebling, Richard Bowden, Marzieh Razavi, 2018, LREC.

Investigating privacy-sensitive features for speech detection in multiparty conversations

Sree Hari Krishnan Parthasarathi, Hervé Bourlard, Daniel Gatica-Perez, 2009, INTERSPEECH.

A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation

Chandra Sekhar Seelamantula, Mathew Magimai-Doss, Sunder Ram Krishnan, 2013, IEEE Signal Processing Letters.

On recognition of non-native speech using probabilistic lexical model

Marzieh Razavi, Mathew Magimai-Doss, 2014, INTERSPEECH.

On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs

Sébastien Marcel, Mathew Magimai-Doss, Hannah Muckenhirn, 2018, INTERSPEECH.

Volterra series for analyzing MLP based phoneme posterior estimator

Hynek Hermansky, Garimella S. V. S. Sivaram, Joel Pinto, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Privacy-Sensitive Audio Features for Speech/Nonspeech Detection

Mathew Magimai-Doss, S. H. K. Parthasarathi, D. Gatica-Perez, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Boosting localized binary features for speech recognition

Sébastien Marcel, Anindya Roy, Mathew Magimai-Doss, 2012, MLSLP.

A comparative large scale study of MLP features for Mandarin ASR

Wen Wang, Mathew Magimai-Doss, Christian Plahl, 2010, INTERSPEECH.

Dynamic Bayesian network based speech recognition with pitch and energy as auxiliary variables

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities

Milos Cernak, Ramya Rasipuram, Mathew Magimai-Doss, 2015, INTERSPEECH.

Boosted binary features for noise-robust speaker verification

Sébastien Marcel, Anindya Roy, Mathew Magimai-Doss, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fast speaker verification on mobile phone data using boosted slice classifiers

Sébastien Marcel, Anindya Roy, Mathew Magimai-Doss, 2011, 2011 International Joint Conference on Biometrics (IJCB).

Enhancement of speech in multispeaker environment

S. R. Mahadeva Prasanna, Bayya Yegnanarayana, Mathew Magimai-Doss, 2003, INTERSPEECH.

Implementing Fusion Techniques for the Classification of Paralinguistic Information

Mathew Magimai-Doss, Bogdan Vlasenko, Jilt Sebastian, 2018, INTERSPEECH.

A spectrogram model for enhanced source localization and noise-robust ASR

Bertrand Mesot, Guillaume Lathoud, Mathew Magimai-Doss, 2005, INTERSPEECH.

Neural network based regression for robust overlapping speech recognition using microphone arrays

Weifeng Li, Hervé Bourlard, Mathew Magimai-Doss, 2008, INTERSPEECH.

An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling

Simon King, Karen Livescu, Chris D. Bartels, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Posterior-Based Multistream Formulation for G2P Conversion

Marzieh Razavi, Mathew Magimai-Doss, 2017, IEEE Signal Processing Letters.

Speech recognition with auxiliary information

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2004, IEEE Transactions on Speech and Audio Processing.

The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System

Andreas Stolcke, Xavier Anguera Miró, Jing Zheng, 2007, CLEAR.

Phoneme recognition using Boosted Binary Features

Sébastien Marcel, Anindya Roy, Mathew Magimai-Doss, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Juicer: A Weighted Finite-State Transducer Speech Decoder

Jithendra Vepa, Thomas Hain, Mathew Magimai-Doss, 2006, MLMI.

Probabilistic lexical modeling and unsupervised training for zero-resourced ASR

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Cross-linguistic analysis of prosodic features for sentence segmentation

Dilek Z. Hakkani-Tür, Nikki Mirghafori, Elizabeth Shriberg, 2007, INTERSPEECH.

An HMM-based formalism for automatic subword unit derivation and pronunciation generation

Marzieh Razavi, Mathew Magimai-Doss, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting contextual information for improved phoneme recognition

Hynek Hermansky, Bayya Yegnanarayana, Joel Pinto, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Threshold Selection for Unsupervised Detection, With an Application to Microphone Arrays

Hervé Bourlard, Guillaume Lathoud, Mathew Magimai-Doss, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Joint decoding for phoneme-grapheme continuous speech recognition

Samy Bengio, Hervé Bourlard, Mathew Magimai-Doss, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A probabilistic framework for multiple speaker localization

Friedrich Faubel, Dietrich Klakow, Mathew Magimai-Doss, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

MODELLING AUXILIARY FEATURES in TANDEM SYSTEMS

Hervé Bourlard, Shajith Ikbal, Mathew Magimai-Doss, 2004 .

End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks pdf

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2013, ArXiv.

Learning linearly separable features for speech recognition using convolutional neural networks pdf

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2014, ICLR.

Hierarchical multilayer perceptron based language identification

Hervé Bourlard, Mathew Magimai-Doss, David Imseng, 2010, INTERSPEECH.

Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPS

Simon King, Karen Livescu, Chris D. Bartels, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Hierarchical Tandem Features for ASR in Mandarin

Hervé Bourlard, Joel Pinto, Mathew Magimai-Doss, 2011, INTERSPEECH.

Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition

Ramya Rasipuram, Mathew Magimai-Doss, David Imseng, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system

Mathew Magimai-Doss, Christian Plahl, Suman V. Ravuri, 2009, INTERSPEECH.

Convolutional Neural Networks-based continuous speech recognition using raw speech signal

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR

Louis ten Bosch, Lou Boves, Bert Cranen, 2012, INTERSPEECH.

Objective speech intelligibility assessment through comparison of phoneme class conditional probability sequences

Hervé Bourlard, Mathew Magimai-Doss, Raphael Ullmann, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Mathew Magimai-Doss, Hannah Muckenhirn, Selen Hande Kabil, 2018, INTERSPEECH.

Improving grapheme-based ASR by probabilistic lexical modeling approach

Ramya Rasipuram, Mathew Magimai-Doss, 2013, INTERSPEECH.

A Neural Network Based Regression Approach for Recognizing Simultaneous Speech

Weifeng Li, Hervé Bourlard, Mathew Magimai-Doss, 2008, MLMI.

Grapheme-Based Automatic Speech Recognition Using KL-HMM

Hervé Bourlard, Guillermo Aradilla, Ramya Rasipuram, 2011, INTERSPEECH.

MLP based hierarchical system for task adaptation in ASR

Hervé Bourlard, Joel Pinto, Mathew Magimai-Doss, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks pdf

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2013, INTERSPEECH.

Learning Voice Source Related Information for Depression Detection

Mathew Magimai-Doss, S. Pavankumar Dubagunta, Bogdan Vlasenko, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-End convolutional neural network-based voice presentation attack detection

Sébastien Marcel, Mathew Magimai-Doss, Hannah Muckenhirn, 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).

Segment-level Training of ANNs Based on Acoustic Confidence Measures for Hybrid HMM/ANN Speech Recognition

Mathew Magimai-Doss, S. Pavankumar Dubagunta, M. Magimai.-Doss, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition

Mathew Magimai-Doss, Oya Aran, Sandrine Tornay, 2020, LREC.

Using KL-based acoustic models in a large vocabulary recognition task

Hervé Bourlard, Guillermo Aradilla, Mathew Magimai-Doss, 2008, INTERSPEECH.

Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2018, Speech Commun..

Understanding and Visualizing Raw Waveform-Based CNNs

Sébastien Marcel, Mathew Magimai-Doss, Hannah Muckenhirn, 2019, INTERSPEECH.

Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS

Sébastien Marcel, Mathew Magimai-Doss, Hannah Muckenhirn, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mixed Bayesian networks with auxiliary variables for automatic speech recognition

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2002, Object recognition supported by user interaction for service robots.

HMM/ANN based spectral peak location estimation for noise robust speech recognition

Hervé Bourlard, Shajith Ikbal, Mathew Magimai-Doss, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Language dependent universal phoneme posterior estimation for mixed language speech recognition

Hervé Bourlard, Mathew Magimai-Doss, David Imseng, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evaluating the robustness of privacy-sensitive audio features for speech detection in personal audio log scenarios

Sree Hari Krishnan Parthasarathi, Hervé Bourlard, Daniel Gatica-Perez, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Auxiliary variables in conditional Gaussian mixtures for automatic speech recognition

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2002, INTERSPEECH.

Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech

Shrikanth S. Narayanan, Hema A. Murthy, Manoj Kumar, 2018, INTERSPEECH.

A sector-based, frequency-domain approach to detection and localization of multiple speakers

Guillaume Lathoud, Mathew Magimai-Doss, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Entropy Based Classifier Combination for Sentence Segmentation

Dilek Z. Hakkani-Tür, Nikki Mirghafori, Elizabeth Shriberg, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Articulatory feature based continuous speech recognition using probabilistic lexical modeling

Ramya Rasipuram, Mathew Magimai-Doss, 2016, Comput. Speech Lang..

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using comparison of parallel phoneme probability streams for OOV word detection

Hynek Hermansky, Tamara Tosic, Mathew Magimai-Doss, 2008, 2008 16th European Signal Processing Conference.

Articulatory feature classifiers trained on 2000 hours of telephone speech

Simon King, Karen Livescu, Joe Frankel, 2007, INTERSPEECH.

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR

Louis ten Bosch, Lou Boves, Bert Cranen, 2012, INTERSPEECH.

Manual Transcription of Conversational Speech at the Articulatory Feature Level

Simon King, Karen Livescu, Joe Frankel, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A Fast Parts-Based Approach to Speaker Verification Using Boosted Slice Classifiers

Sébastien Marcel, Anindya Roy, Mathew Magimai-Doss, 2012, IEEE Transactions on Information Forensics and Security.

Analysis of CNN-based speech recognition system using raw speech as input

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss, 2015, INTERSPEECH.

Speaker change detection with privacy-preserving audio cues

Sree Hari Krishnan Parthasarathi, Hervé Bourlard, Daniel Gatica-Perez, 2009, ICMI-MLMI '09.

Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM

Ramya Rasipuram, Mathew Magimai-Doss, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Adequacy of Baseform Pronunciations and Pronunciation Variants

Hervé Bourlard, Mathew Magimai-Doss, 2004, MLMI.

Objective intelligibility assessment of text-to-speech systems through utterance verification

Hervé Bourlard, Ramya Rasipuram, Mathew Magimai-Doss, 2015, INTERSPEECH.

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

Ramya Rasipuram, Mathew Magimai-Doss, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Template-based ASR using posterior features and synthetic references: comparing different TTS systems

Hervé Bourlard, Mathew Magimai-Doss, Serena Soldo, 2012, SAPA@INTERSPEECH.

Improving Non-Native ASR Through Stochastic Multilingual Phoneme Space Transformations

Hervé Bourlard, Philip N. Garner, Mathew Magimai-Doss, 2011, INTERSPEECH.

On Joint Optimization of Automatic Speaker Verification and Anti-Spoofing in the Embedding Space

Antonio M. Peinado, Mathew Magimai-Doss, S. Pavankumar Dubagunta, 2021, IEEE Transactions on Information Forensics and Security.

Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop

Simon King, Kate Saenko, Mark Hasegawa-Johnson, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning

Ramya Rasipuram, Mathew Magimai-Doss, 2011, ICANN.

Posterior features for template-based ASR

Hervé Bourlard, Joel Pinto, Mathew Magimai-Doss, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using pitch frequency information in speech recognition

Hervé Bourlard, Mathew Magimai-Doss, Todd A. Stephenson, 2003, INTERSPEECH.

HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing

Richard Bowden, Marzieh Razavi, Mathew Magimai-Doss, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

Mathew Magimai-Doss, Julian Fritsch, M. Magimai.-Doss, 2021, IEEE Signal Processing Letters.

Adjustable deterministic pseudonymization of speech

Mathew Magimai-Doss, S. Pavankumar Dubagunta, Rob J. J. H. van Son, 2022, Comput. Speech Lang..

Approximating the Mental Lexicon from Clinical Interviews as a Support Tool for Depression Detection

Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Mathew Magimai-Doss, 2021, ICMI.

Signal-to-signal neural networks for improved spike estimation from calcium imaging data

Hema A. Murthy, Mathew Magimai-Doss, Mriganka Sur, 2021, PLoS Comput. Biol..

Phoneme Based Respiratory Analysis of Read Speech

Helmer Strik, Mathew Magimai-Doss, Aki Härmä, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings

Helmer Strik, Mathew Magimai-Doss, Aki Härmä, 2021, Neural Networks.

Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition

Mathew Magimai-Doss, Bogdan Vlasenko, RaviShankar Prasad, 2021, MuSe @ ACM Multimedia.

On The Relationship Between Speech-Based Breathing Signal Prediction Evaluation Measures and Breathing Parameters Estimation

Helmer Strik, Mathew Magimai-Doss, Aki Härmä, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).