Modeling auxiliary information in Bayesian network based ASR. - Todd A. Stephenson; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2001)

Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition. - Todd A. Stephenson; Mathew Magimai-Doss; Hervé Bourlard (ICPR (4), 2002)

Auxiliary variables in conditional Gaussian mixtures for automatic speech recognition. - Todd A. Stephenson; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2002)

Dynamic Bayesian network based speech recognition with pitch and energy as auxiliary variables. - Todd A. Stephenson; Jaume Escofet; Mathew Magimai-Doss; Hervé Bourlard (NNSP, 2002)

Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks. - Todd A. Stephenson; Mathew Magimai-Doss; Hervé Bourlard (ICASSP (1), 2003)

Using pitch frequency information in speech recognition. - Mathew Magimai-Doss; Todd A. Stephenson; Hervé Bourlard (INTERSPEECH, 2003)

Enhancement of speech in multispeaker environment. - B. Yegnanarayana 001; S. R. Mahadeva Prasanna; Mathew Magimai-Doss (INTERSPEECH, 2003)

Joint decoding for phoneme-grapheme continuous speech recognition. - Mathew Magimai-Doss; Samy Bengio; Hervé Bourlard (ICASSP (1), 2004)

Spectro-temporal activity pattern (STAP) features for noise robust ASR. - Shajith Ikbal; Mathew Magimai-Doss; Hemant Misra; Hervé Bourlard (INTERSPEECH, 2004)

Modeling auxiliary features in tandem systems. - Mathew Magimai-Doss; Shajith Ikbal; Todd A. Stephenson; Hervé Bourlard (INTERSPEECH, 2004)

On the Adequacy of Baseform Pronunciations and Pronunciation Variants. - Mathew Magimai-Doss; Hervé Bourlard (MLMI, 2004)

Speech recognition with auxiliary information. - Todd A. Stephenson; Mathew Magimai-Doss; Hervé Bourlard (IEEE Trans. Speech Audio Process., 2004)

HMM/ANN Based Spectral Peak Location Estimation for Noise Robust Speech Recognition. - Shajith Ikbal; Hervé Bourlard; Mathew Magimai-Doss (ICASSP (1), 2005)

A sector-based, frequency-domain approach to detection and localization of multiple speakers. - Guillaume Lathoud; Mathew Magimai-Doss (ICASSP (3), 2005)

A spectrogram model for enhanced source localization and noise-robust ASR. - Guillaume Lathoud; Mathew Magimai-Doss; Bertrand Mesot (INTERSPEECH, 2005)

Threshold Selection for Unsupervised Detection, With an Application to Microphone Arrays. - Guillaume Lathoud; Mathew Magimai-Doss; Hervé Bourlard (ICASSP (3), 2006)

Juicer: A Weighted Finite-State Transducer Speech Decoder. - Darren Moore; John Dines; Mathew Magimai-Doss; Jithendra Vepa; Octavian Cheng; Thomas Hain (MLMI, 2006)

Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPS. - Özgür Çetin; Mathew Magimai-Doss; Karen Livescu; Arthur Kantor; Simon King 001; Chris D. Bartels; Joe Frankel (ASRU, 2007)

The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System. - Andreas Stolcke; Xavier Anguera; Kofi Boakye; Özgür Çetin; Adam Janin; Mathew Magimai-Doss; Chuck Wooters; Jing Zheng 001 (CLEAR, 2007)

An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling. - Özgür Çetin; Arthur Kantor; Simon King 001; Chris D. Bartels; Mathew Magimai-Doss; Joe Frankel; Karen Livescu (ICASSP (4), 2007)

A Generalized Dynamic Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition. - Octavian Cheng; John Dines; Mathew Magimai-Doss (ICASSP (4), 2007)

Manual Transcription of Conversational Speech at the Articulatory Feature Level. - Karen Livescu; Ari Bezman; Nash M. Borges; Lisa Yung; Özgür Çetin; Joe Frankel; Simon King 001; Mathew Magimai-Doss; Xuemin Chi; Lisa Lavoie (ICASSP (4), 2007)

Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. - Karen Livescu; Özgür Çetin; Mark Hasegawa-Johnson; Simon King 001; Chris D. Bartels; Nash M. Borges; Arthur Kantor; Partha Lal; Lisa Yung; Ari Bezman; Stephen Dawson-Haggerty; Bronwyn Woods; et al. (ICASSP (4), 2007)

Entropy Based Classifier Combination for Sentence Segmentation. - Mathew Magimai-Doss; Dilek Hakkani-Tür; Özgür Çetin; Elizabeth Shriberg; James G. Fung; Nikki Mirghafori (ICASSP (4), 2007)

Articulatory feature classifiers trained on 2000 hours of telephone speech. - Joe Frankel; Mathew Magimai-Doss; Simon King 001; Karen Livescu; Özgür Çetin (INTERSPEECH, 2007)

Cross-linguistic analysis of prosodic features for sentence segmentation. - James G. Fung; Dilek Hakkani-Tür; Mathew Magimai-Doss; Elizabeth Shriberg; Sébastien Cuendet; Nikki Mirghafori (INTERSPEECH, 2007)

Improving speech translation with automatic boundary prediction. - Evgeny Matusov; Dustin Hillard; Mathew Magimai-Doss; Dilek Hakkani-Tür; Mari Ostendorf; Hermann Ney (INTERSPEECH, 2007)

A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems. - John Dines; Mathew Magimai-Doss (MLMI, 2007)

MLP-based log spectral energy mapping for robust overlapping speech recognition. - Weifeng Li 001; Mathew Magimai-Doss; John Dines; Hervé Bourlard (EUSIPCO, 2008)

Using comparison of parallel phoneme probability streams for OOV word detection. - Tamara Tosic; Mathew Magimai-Doss; Hynek Hermansky (EUSIPCO, 2008)

Exploiting contextual information for improved phoneme recognition. - Joel Pinto; B. Yegnanarayana 001; Hynek Hermansky; Mathew Magimai-Doss (ICASSP, 2008)

Using KL-based acoustic models in a large vocabulary recognition task. - Guillermo Aradilla; Hervé Bourlard; Mathew Magimai-Doss (INTERSPEECH, 2008)

Neural network based regression for robust overlapping speech recognition using microphone arrays. - Weifeng Li 001; John Dines; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2008)

A Neural Network Based Regression Approach for Recognizing Simultaneous Speech. - Weifeng Li 001; Ken'ichi Kumatani; John Dines; Mathew Magimai-Doss; Hervé Bourlard (MLMI, 2008)

MLP based hierarchical system for task adaptation in ASR. - Joel Pinto; Mathew Magimai-Doss; Hervé Bourlard (ASRU, 2009)

Posterior features applied to speech recognition tasks with user-defined vocabulary. - Guillermo Aradilla; Hervé Bourlard; Mathew Magimai-Doss (ICASSP, 2009)

Non-linear mapping for multi-channel speech separation and robust overlapping spech recognition. - Weifeng Li 001; John Dines; Mathew Magimai-Doss; Hervé Bourlard (ICASSP, 2009)

Volterra series for analyzing MLP based phoneme posterior estimator. - Joel Pinto; Garimella S. V. S. Sivaram; Hynek Hermansky; Mathew Magimai-Doss (ICASSP, 2009)

Speaker change detection with privacy-preserving audio cues. - Sree Hari Krishnan Parthasarathi; Mathew Magimai-Doss; Daniel Gatica-Perez; Hervé Bourlard (ICMI, 2009)

Investigating privacy-sensitive features for speech detection in multiparty conversations. - Sree Hari Krishnan Parthasarathi; Mathew Magimai-Doss; Hervé Bourlard; Daniel Gatica-Perez (INTERSPEECH, 2009)

Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri (INTERSPEECH, 2009)

Evaluating the robustness of privacy-sensitive audio features for speech detection in personal audio log scenarios. - Sree Hari Krishnan Parthasarathi; Mathew Magimai-Doss; Hervé Bourlard; Daniel Gatica-Perez (ICASSP, 2010)

Boosted binary features for noise-robust speaker verification. - Anindya Roy; Mathew Magimai-Doss; Sébastien Marcel (ICASSP, 2010)

Towards mixed language speech recognition systems. - David Imseng; Hervé Bourlard; Mathew Magimai-Doss (INTERSPEECH, 2010)

Hierarchical multilayer perceptron based language identification. - David Imseng; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2010)

A comparative large scale study of MLP features for Mandarin ASR. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri; Wen Wang (INTERSPEECH, 2010)

Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition. - David Imseng; Ramya Rasipuram; Mathew Magimai-Doss (ASRU, 2011)

Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning. - Ramya Rasipuram; Mathew Magimai-Doss (ICANN (1), 2011)

Language dependent universal phoneme posterior estimation for mixed language speech recognition. - David Imseng; Hervé Bourlard; Mathew Magimai-Doss; John Dines (ICASSP, 2011)

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition. - Ramya Rasipuram; Mathew Magimai-Doss (ICASSP, 2011)

Phoneme recognition using Boosted Binary Features. - Anindya Roy; Mathew Magimai-Doss; Sébastien Marcel (ICASSP, 2011)

Posterior features for template-based ASR. - Serena Soldo; Mathew Magimai-Doss; Joel Pinto; Hervé Bourlard (ICASSP, 2011)

Fast speaker verification on mobile phone data using boosted slice classifiers. - Anindya Roy; Mathew Magimai-Doss; Sébastien Marcel (IJCB, 2011)

Improving Non-Native ASR Through Stochastic Multilingual Phoneme Space Transformations. - David Imseng; Hervé Bourlard; John Dines; Philip N. Garner; Mathew Magimai-Doss (INTERSPEECH, 2011)

Grapheme-Based Automatic Speech Recognition Using KL-HMM. - Mathew Magimai-Doss; Ramya Rasipuram; Guillermo Aradilla; Hervé Bourlard (INTERSPEECH, 2011)

Hierarchical Tandem Features for ASR in Mandarin. - Joel Pinto; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2011)

Analysis and Comparison of Recent MLP Features for LVCSR Systems. - Fabio Valente; Mathew Magimai-Doss; Wen Wang (INTERSPEECH, 2011)

Privacy-Sensitive Audio Features for Speech/Nonspeech Detection. - Sree Hari Krishnan Parthasarathi; Daniel Gatica-Perez; Hervé Bourlard; Mathew Magimai-Doss (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator. - Joel Pinto; Garimella S. V. S. Sivaram; Mathew Magimai-Doss; Hynek Hermansky; Hervé Bourlard (IEEE Trans. Speech Audio Process., 2011)

Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features. - Fabio Valente; Mathew Magimai-Doss; Christian Plahl; Suman V. Ravuri; Wen Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

A TDOA Gaussian mixture model for improving acoustic source tracking. - Youssef Oualil; Friedrich Faubel; Mathew Magimai-Doss; Dietrich Klakow (EUSIPCO, 2012)

Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM. - Ramya Rasipuram; Mathew Magimai-Doss (ICASSP, 2012)

Joint detection and localization of multiple speakers using a probabilistic interpretation of the steered response power. - Youssef Oualil; Mathew Magimai-Doss; Friedrich Faubel; Dietrich Klakow (SAPA@INTERSPEECH, 2012)

Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation. - Ramya Rasipuram; Mathew Magimai-Doss (INTERSPEECH, 2012)

Synthetic References for Template-based ASR using posterior features. - Serena Soldo; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2012)

Template-based ASR using posterior features and synthetic references: comparing different TTS systems. - Serena Soldo; Mathew Magimai-Doss; Hervé Bourlard (SAPA@INTERSPEECH, 2012)

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR. - Yang Sun; Bert Cranen; Jort F. Gemmeke; Louis ten Bosch; Lou Boves; Mathew M. Doss (INTERSPEECH, 2012)

Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR. - Yang Sun; Mathew M. Doss; Jort F. Gemmeke; Bert Cranen; Louis ten Bosch; Lou Boves (INTERSPEECH, 2012)

Boosting localized binary features for speech recognition. - Anindya Roy; Mathew Magimai-Doss; Sébastien Marcel (MLSLP, 2012)

Phase AutoCorrelation (PAC) features for noise robust speech recognition. - Shajith Ikbal; Hemant Misra; Hynek Hermansky; Mathew Magimai-Doss (Speech Commun., 2012)

A Fast Parts-Based Approach to Speaker Verification Using Boosted Slice Classifiers. - Anindya Roy; Mathew Magimai-Doss; Sébastien Marcel (IEEE Trans. Inf. Forensics Secur., 2012)

Probabilistic lexical modeling and unsupervised training for zero-resourced ASR. - Ramya Rasipuram; Marzieh Razavi; Mathew Magimai-Doss (ASRU, 2013)

A probabilistic framework for multiple speaker localization. - Youssef Oualil; Mathew Magimai-Doss; Friedrich Faubel; Dietrich Klakow (ICASSP, 2013)

Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic. - Ramya Rasipuram; Peter Bell 001; Mathew Magimai-Doss (ICASSP, 2013)

Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. - Dimitri Palaz; Ronan Collobert; Mathew Magimai-Doss (INTERSPEECH, 2013)

Improving grapheme-based ASR by probabilistic lexical modeling approach. - Ramya Rasipuram; Mathew Magimai-Doss (INTERSPEECH, 2013)

End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. - Dimitri Palaz; Ronan Collobert; Mathew Magimai-Doss (CoRR, 2013)

A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation. - Sunder Ram Krishnan; Mathew Magimai-Doss; Chandra Sekhar Seelamantula (IEEE Signal Process. Lett., 2013)

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition. - David Imseng; Hervé Bourlard; John Dines; Philip N. Garner; Mathew Magimai-Doss (IEEE Trans. Speech Audio Process., 2013)

Joint phoneme segmentation inference and classification using CRFs. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (GlobalSIP, 2014)

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches. - Marzieh Razavi; Ramya Rasipuram; Mathew Magimai-Doss (ICASSP, 2014)

On recognition of non-native speech using probabilistic lexical model. - Marzieh Razavi; Mathew Magimai-Doss (INTERSPEECH, 2014)

Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array. - Weifeng Li 001; Longbiao Wang; Yicong Zhou; John Dines; Mathew Magimai-Doss; Hervé Bourlard; Qingmin Liao (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Convolutional Neural Networks-based continuous speech recognition using raw speech signal. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (ICASSP, 2015)

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. - Ramya Rasipuram; Marzieh Razavi; Mathew Magimai-Doss (ICASSP, 2015)

An HMM-based formalism for automatic subword unit derivation and pronunciation generation. - Marzieh Razavi; Mathew Magimai-Doss (ICASSP, 2015)

Objective speech intelligibility assessment through comparison of phoneme class conditional probability sequences. - Raphael Ullmann; Mathew Magimai-Doss; Hervé Bourlard (ICASSP, 2015)

Analysis of CNN-based speech recognition system using raw speech as input. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (INTERSPEECH, 2015)

Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. - Ramya Rasipuram; Milos Cernak; Alexandre Nanchen; Mathew Magimai-Doss (INTERSPEECH, 2015)

Objective intelligibility assessment of text-to-speech systems through utterance verification. - Raphael Ullmann; Ramya Rasipuram; Mathew Magimai-Doss; Hervé Bourlard (INTERSPEECH, 2015)

Learning linearly separable features for speech recognition using convolutional neural networks. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (ICLR (Workshop), 2015)

Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model. - Ramya Rasipuram; Mathew Magimai-Doss (Speech Commun., 2015)

Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification. - Hannah Muckenhirn; Mathew Magimai-Doss; Sébastien Marcel (BIOSIG, 2016)

HMM-Based Non-Native Accent Assessment Using Posterior Features. - Ramya Rasipuram; Milos Cernak; Mathew Magimai-Doss (INTERSPEECH, 2016)

Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery. - Marzieh Razavi; Mathew Magimai-Doss (INTERSPEECH, 2016)

Articulatory feature based continuous speech recognition using probabilistic lexical modeling. - Ramya Rasipuram; Mathew Magimai-Doss (Comput. Speech Lang., 2016)

Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework. - Marzieh Razavi; Ramya Rasipuram; Mathew Magimai-Doss (Speech Commun., 2016)

End-to-End convolutional neural network-based voice presentation attack detection. - Hannah Muckenhirn; Mathew Magimai-Doss; Sébastien Marcel (IJCB, 2017)

A Posterior-Based Multistream Formulation for G2P Conversion. - Marzieh Razavi; Mathew Magimai-Doss (IEEE Signal Process. Lett., 2017)

Long-Term Spectral Statistics for Voice Presentation Attack Detection. - Hannah Muckenhirn; Pavel Korshunov; Mathew Magimai-Doss; Sébastien Marcel (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS. - Hannah Muckenhirn; Mathew Magimai-Doss; Sébastien Marcel (ICASSP, 2018)

On Learning to Identify Genders from Raw Speech Signal Using CNNs. - Selen Hande Kabil; Hannah Muckenhirn; Mathew Magimai-Doss (INTERSPEECH, 2018)

On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs. - Hannah Muckenhirn; Mathew Magimai-Doss; Sébastien Marcel (INTERSPEECH, 2018)

Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. - Jilt Sebastian; Manoj Kumar 007; Pavan Kumar D. S.; Mathew Magimai-Doss; Hema A. Murthy; Shrikanth S. Narayanan (INTERSPEECH, 2018)

Implementing Fusion Techniques for the Classification of Paralinguistic Information. - Bogdan Vlasenko; Jilt Sebastian; Pavan Kumar D. S.; Mathew Magimai-Doss (INTERSPEECH, 2018)

SMILE Swiss German Sign Language Dataset. - Sarah Ebling; Necati Cihan Camgöz; Penny Boyes Braem; Katja Tissi; Sandra Sidler-Miserez; Stephanie Stoll; Simon Hadfield; Tobias Haug; Richard Bowden; Sandrine Tornay; Marzieh Razavi; Mathew Magimai-Doss (LREC, 2018)

Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models. - Marzieh Razavi; Ramya Rasipuram; Mathew Magimai-Doss (Speech Commun., 2018)

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal. - S. Pavankumar Dubagunta; Selen Hande Kabil; Mathew Magimai-Doss (ICASSP, 2019)

Segment-level Training of ANNs Based on Acoustic Confidence Measures for Hybrid HMM/ANN Speech Recognition. - S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2019)

Learning Voice Source Related Information for Depression Detection. - S. Pavankumar Dubagunta; Bogdan Vlasenko; Mathew Magimai-Doss (ICASSP, 2019)

HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing. - Sandrine Tornay; Marzieh Razavi; Necati Cihan Camgöz; Richard Bowden; Mathew Magimai-Doss (ICASSP, 2019)

Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification. - S. Pavankumar Dubagunta; Mathew Magimai-Doss (INTERSPEECH, 2019)

Understanding and Visualizing Raw Waveform-Based CNNs. - Hannah Muckenhirn; Vinayak Abrol; Mathew Magimai-Doss; Sébastien Marcel (INTERSPEECH, 2019)

Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs. - Sandrine Tornay; Mathew Magimai-Doss (Inf., 2019)

End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (Speech Commun., 2019)

Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS. - Julian Fritsch; S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2020)

Dysarthric Speech Recognition with Lattice-Free MMI. - Enno Hermann; Mathew Magimai-Doss (ICASSP, 2020)

Detection Of S1 And S2 Locations In Phonocardiogram Signals Using Zero Frequency Filter. - RaviShankar Prasad; Gürkan Yilmaz; Olivier Chételat; Mathew Magimai-Doss (ICASSP, 2020)

Towards Multilingual Sign Language Recognition. - Sandrine Tornay; Marzieh Razavi; Mathew Magimai-Doss (ICASSP, 2020)

A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language. - Sandrine Tornay; Necati Cihan Camgöz; Richard Bowden; Mathew Magimai-Doss (ICMI Companion, 2020)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - Nicholas Cummins; Yilin Pan; Zhao Ren; Julian Fritsch; Venkata Srikanth Nallanthighal; Heidi Christensen; Daniel Blackburn; Björn W. Schuller; Mathew Magimai-Doss; Helmer Strik; Aki Härmä (INTERSPEECH, 2020)

An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition. - Sandrine Tornay; Oya Aran; Mathew Magimai-Doss (LREC, 2020)

An Objective Evaluation Framework for Pathological Speech Synthesis. - Bence Mark Halpern; Julian Fritsch; Enno Hermann; Rob van Son; Odette Scharenborg; Mathew Magimai-Doss (ITG Conference on Speech Communication, 2021)

Phoneme Based Respiratory Analysis of Read Speech. - Venkata Srikanth Nallanthighal; Aki Härmä; Helmer Strik; Mathew Magimai-Doss (EUSIPCO, 2021)

On The Relationship Between Speech-Based Breathing Signal Prediction Evaluation Measures and Breathing Parameters Estimation. - Zohreh Mostaani; Venkata Srikanth Nallanthighal; Aki Härmä; Helmer Strik; Mathew Magimai-Doss (ICASSP, 2021)

Approximating the Mental Lexicon from Clinical Interviews as a Support Tool for Depression Detection. - Esaú Villatoro-Tello; Gabriela Ramírez-de-la-Rosa; Daniel Gática-Pérez; Mathew Magimai-Doss; Héctor Jiménez-Salazar (ICMI, 2021)

Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination. - Enno Hermann; Mathew Magimai-Doss (Interspeech, 2021)

Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering. - RaviShankar Prasad; Mathew Magimai-Doss (Interspeech, 2021)

On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. - Juan Camilo Vásquez-Correa; Julian Fritsch; Juan Rafael Orozco-Arroyave; Elmar Nöth; Mathew Magimai-Doss (Interspeech, 2021)

Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition. - Esaú Villatoro-Tello; S. Pavankumar Dubagunta; Julian Fritsch; Gabriela Ramírez-de-la-Rosa; Petr Motlícek; Mathew Magimai-Doss (Interspeech, 2021)

Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition. - Bogdan Vlasenko; RaviShankar Prasad; Mathew Magimai-Doss (MuSe @ ACM Multimedia, 2021)

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings. - Venkata Srikanth Nallanthighal; Zohreh Mostaani; Aki Härmä; Helmer Strik; Mathew Magimai-Doss (Neural Networks, 2021)

Signal-to-signal neural networks for improved spike estimation from calcium imaging data. - Jilt Sebastian; Mriganka Sur; Hema A. Murthy; Mathew Magimai-Doss (PLoS Comput. Biol., 2021)

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features. - Julian Fritsch; Mathew Magimai-Doss (IEEE Signal Process. Lett., 2021)

On Joint Optimization of Automatic Speaker Verification and Anti-Spoofing in the Embedding Space. - Alejandro Gómez Alanís; José Andrés González López; S. Pavankumar Dubagunta; Antonio M. Peinado; Mathew Magimai-Doss (IEEE Trans. Inf. Forensics Secur., 2021)

Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection. - Zohreh Mostaani; RaviShankar Prasad; Bogdan Vlasenko; Mathew Magimai-Doss (ICASSP, 2022)

Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings. - S. Pavankumar Dubagunta; Edoardo Moneta; Eleni Theocharopoulos; Mathew Magimai-Doss (ICMI Companion, 2022)

Towards Accessible Sign Language Assessment and Learning. - Neha Tarigopula; Sandrine Tornay; Skanda Muralidhar; Mathew Magimai-Doss (ICMI, 2022)

On Breathing Pattern Information in Synthetic Speech. - Zohreh Mostaani; Mathew Magimai-Doss (INTERSPEECH, 2022)

Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering. - Eklavya Sarkar; RaviShankar Prasad; Mathew Magimai-Doss (INTERSPEECH, 2022)

Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. - Sarthak Yadav; Tilak Purohit; Zohreh Mostaani; Bogdan Vlasenko; Mathew Magimai-Doss (MuSe @ ACM Multimedia, 2022)

Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track. - Tilak Purohit; Imen Ben Mahmoud; Bogdan Vlasenko; Mathew Magimai-Doss (CoRR, 2022)

Adjustable deterministic pseudonymization of speech. - S. Pavankumar Dubagunta; Rob J. J. H. van Son; Mathew Magimai-Doss (Comput. Speech Lang., 2022)

Towards Learning Emotion Information from Short Segments of Speech. - Tilak Purohit; Sarthak Yadav; Bogdan Vlasenko; S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2023)

Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation. - Enno Hermann; Mathew Magimai-Doss (INTERSPEECH, 2023)

Using Commercial ASR Solutions to Assess Reading Skills in Children: A Case Report. - Timothy Piton; Enno Hermann; Angela Pasqualotto; Marjolaine Cohen; Mathew Magimai-Doss; Daphne Bavelier (INTERSPEECH, 2023)

Implicit phonetic information modeling for speech emotion recognition. - Tilak Purohit; Bogdan Vlasenko; Mathew Magimai-Doss (INTERSPEECH, 2023)

Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? - Eklavya Sarkar; Mathew Magimai-Doss (INTERSPEECH, 2023)

Syllable Level Features for Parkinson's Disease Detection from Speech. - Sevada Hovsepyan; Mathew Magimai-Doss (ICASSP, 2024)

Content-Based Objective Evaluation of Artificially Generated Sign Language Videos. - Neha Tarigopula; Preyas Garg; Skanda Muralidhar; Sandrine Tornay; Dinesh Babu Jayagopi; Mathew Magimai-Doss (ICASSP, 2024)

Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition. - Bogdan Vlasenko; Sargam Vyas; Mathew Magimai-Doss (ICASSP, 2024)

Predicting Heart Activity from Speech using Data-driven and Knowledge-based features. - Gasser Elbanna; Zohreh Mostaani; Mathew Magimai-Doss (INTERSPEECH, 2024)

Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson's disease speech detection. - Sevada Hovsepyan; Mathew Magimai-Doss (INTERSPEECH, 2024)

Towards interfacing large language models with ASR systems using confidence measures and prompting. - Maryam Naderi; Enno Hermann; Alexandre Nanchen; Sevada Hovsepyan; Mathew Magimai-Doss (INTERSPEECH, 2024)

Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction. - Luis Felipe Parra-Gallego; Tilak Purohit; Bogdan Vlasenko; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (INTERSPEECH, 2024)

On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis. - Eklavya Sarkar; Mathew Magimai-Doss (CoRR, 2024)

SSL-TTS: Leveraging Self-Supervised Embeddings and kNN Retrieval for Zero-Shot Multi-speaker TTS. - Karl El Hajal; Ajinkya Kulkarni; Enno Hermann; Mathew Magimai-Doss (CoRR, 2024)

Feature Representations for Automatic Meerkat Vocalization Classification. - Imen Ben Mahmoud; Eklavya Sarkar; Marta B. Manser; Mathew Magimai-Doss (CoRR, 2024)

On the Quantization of Neural Models for Speaker Verification. - Vishal Kumar; Vinayak Abrol; Mathew Magimai-Doss (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR. - Karl El Hajal; Enno Hermann; Ajinkya Kulkarni; Mathew Magimai-Doss (ICASSP Workshops, 2025)

Emotion information recovery potential of wav2vec2 network fine-tuned for speech recognition task. - Tilak Purohit; Mathew Magimai-Doss (ICASSP, 2025)

Automatic Parkinson's disease detection from speech: Layer selection vs adaptation of foundation models. - Tilak Purohit; Barbara Ruvolo; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (ICASSP, 2025)

Exploring the Complexity of Parkinson's Patient Speech for Depression Detection task: A Qualitative Analysis. - Barbara Ruvolo; Tilak Purohit; Bogdan Vlasenko; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (ICASSP Workshops, 2025)

Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing. - Eklavya Sarkar; Mathew Magimai-Doss (ICASSP, 2025)

Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment. - Sandrine Tornay; Mathew Magimai-Doss (ICASSP, 2025)

kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech. - Karl El Hajal; Ajinkya Kulkarni; Enno Hermann; Mathew Magimai-Doss (NAACL (Short Papers), 2025)

Children's Voice Privacy: First Steps And Emerging Challenges. - Ajinkya Kulkarni; Francisco Teixeira; Enno Hermann; Thomas Rolland; Isabel Trancoso; Mathew Magimai-Doss (CoRR, 2025)

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech. - Karl El Hajal; Enno Hermann; Sevada Hovsepyan; Mathew Magimai-Doss (CoRR, 2025)

Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion. - Ajinkya Kulkarni; Sandipana Dowerah; Tanel Alumäe; Mathew Magimai-Doss (CoRR, 2025)

Assessment of Personality Dimensions Across Situations Using Conversational Speech. - Alice Zhang; Skanda Muralidhar; Daniel Gatica-Perez; Mathew Magimai-Doss (CoRR, 2025)