Mathew Magimai-Doss

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 64

Top Venues

Publications

Sevada Hovsepyan, Mathew Magimai-Doss
Syllable Level Features for Parkinson's Disease Detection from Speech. ICASSP (2024)
Bogdan Vlasenko, Sargam Vyas, Mathew Magimai-Doss
Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition. ICASSP (2024)
Neha Tarigopula, Preyas Garg, Skanda Muralidhar, Sandrine Tornay, Dinesh Babu Jayagopi, Mathew Magimai-Doss
Content-Based Objective Evaluation of Artificially Generated Sign Language Videos. ICASSP (2024)
Maryam Naderi, Enno Hermann, Alexandre Nanchen, Sevada Hovsepyan, Mathew Magimai-Doss
Towards interfacing large language models with ASR systems using confidence measures and prompting. CoRR (2024)
Eklavya Sarkar, Mathew Magimai-Doss
On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis. CoRR (2024)
Gasser Elbanna, Zohreh Mostaani, Mathew Magimai-Doss
Predicting Heart Activity from Speech using Data-driven and Knowledge-based features. CoRR (2024)
Timothy Piton, Enno Hermann, Angela Pasqualotto, Marjolaine Cohen, Mathew Magimai-Doss, Daphne Bavelier
Using Commercial ASR Solutions to Assess Reading Skills in Children: A Case Report. INTERSPEECH (2023)
Eklavya Sarkar, Mathew Magimai-Doss
Can Self-Supervised Neural Networks Pre-Trained on Human Speech distinguish Animal Callers? CoRR (2023)
Tilak Purohit, Bogdan Vlasenko, Mathew Magimai-Doss
Implicit phonetic information modeling for speech emotion recognition. INTERSPEECH (2023)
Eklavya Sarkar, Mathew Magimai-Doss
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? INTERSPEECH (2023)
Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta, Mathew Magimai-Doss
Towards Learning Emotion Information from Short Segments of Speech. ICASSP (2023)
Enno Hermann, Mathew Magimai-Doss
Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation. INTERSPEECH (2023)
Zohreh Mostaani, Mathew Magimai-Doss
On Breathing Pattern Information in Synthetic Speech. INTERSPEECH (2022)
S. Pavankumar Dubagunta, Rob J. J. H. van Son, Mathew Magimai-Doss
Adjustable deterministic pseudonymization of speech. Comput. Speech Lang. 72 (2022)
S. Pavankumar Dubagunta, Edoardo Moneta, Eleni Theocharopoulos, Mathew Magimai-Doss
Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings. ICMI Companion (2022)
Eklavya Sarkar, RaviShankar Prasad, Mathew Magimai-Doss
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering. INTERSPEECH (2022)
Sarthak Yadav, Tilak Purohit, Zohreh Mostaani, Bogdan Vlasenko, Mathew Magimai-Doss
Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition. MuSe @ ACM Multimedia (2022)
Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko, Mathew Magimai-Doss
Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track. CoRR (2022)
Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, Mathew Magimai-Doss
Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection. ICASSP (2022)
Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar, Mathew Magimai-Doss
Towards Accessible Sign Language Assessment and Learning. ICMI (2022)
Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik, Mathew Magimai-Doss
Phoneme Based Respiratory Analysis of Read Speech. EUSIPCO (2021)
Zohreh Mostaani, Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik, Mathew Magimai-Doss
On The Relationship Between Speech-Based Breathing Signal Prediction Evaluation Measures and Breathing Parameters Estimation. ICASSP (2021)
Esaú Villatoro-Tello, S. Pavankumar Dubagunta, Julian Fritsch, Gabriela Ramírez-de-la-Rosa, Petr Motlícek, Mathew Magimai-Doss
Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition. Interspeech (2021)
RaviShankar Prasad, Mathew Magimai-Doss
Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering. Interspeech (2021)
Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai-Doss
An Objective Evaluation Framework for Pathological Speech Synthesis. CoRR (2021)
Bogdan Vlasenko, RaviShankar Prasad, Mathew Magimai-Doss
Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition. MuSe @ ACM Multimedia (2021)
Jilt Sebastian, Mriganka Sur, Hema A. Murthy, Mathew Magimai-Doss
Signal-to-signal neural networks for improved spike estimation from calcium imaging data. PLoS Comput. Biol. 17 (3) (2021)
Juan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. Interspeech (2021)
Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai-Doss
An Objective Evaluation Framework for Pathological Speech Synthesis. ITG Conference on Speech Communication (2021)
Alejandro Gómez Alanís, José Andrés González López, S. Pavankumar Dubagunta, Antonio M. Peinado, Mathew Magimai-Doss
On Joint Optimization of Automatic Speaker Verification and Anti-Spoofing in the Embedding Space. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Daniel Gática-Pérez, Mathew Magimai-Doss, Héctor Jiménez-Salazar
Approximating the Mental Lexicon from Clinical Interviews as a Support Tool for Depression Detection. ICMI (2021)
Enno Hermann, Mathew Magimai-Doss
Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination. Interspeech (2021)
Julian Fritsch, Mathew Magimai-Doss
Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features. IEEE Signal Process. Lett. 28 (2021)
Venkata Srikanth Nallanthighal, Zohreh Mostaani, Aki Härmä, Helmer Strik, Mathew Magimai-Doss
Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings. Neural Networks 141 (2021)
Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss
Towards Multilingual Sign Language Recognition. ICASSP (2020)
Sandrine Tornay, Necati Cihan Camgöz, Richard Bowden, Mathew Magimai-Doss
A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language. ICMI Companion (2020)
Enno Hermann, Mathew Magimai-Doss
Dysarthric Speech Recognition with Lattice-Free MMI. ICASSP (2020)
Sandrine Tornay, Oya Aran, Mathew Magimai-Doss
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition. LREC (2020)
RaviShankar Prasad, Gürkan Yilmaz, Olivier Chételat, Mathew Magimai-Doss
Detection Of S1 And S2 Locations In Phonocardiogram Signals Using Zero Frequency Filter. ICASSP (2020)
Julian Fritsch, S. Pavankumar Dubagunta, Mathew Magimai-Doss
Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS. ICASSP (2020)
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
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH (2020)
Sandrine Tornay, Marzieh Razavi, Necati Cihan Camgöz, Richard Bowden, Mathew Magimai-Doss
HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing. ICASSP (2019)
Sandrine Tornay, Mathew Magimai-Doss
Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs. Inf. 10 (10) (2019)
S. Pavankumar Dubagunta, Mathew Magimai-Doss
Segment-level Training of ANNs Based on Acoustic Confidence Measures for Hybrid HMM/ANN Speech Recognition. ICASSP (2019)
S. Pavankumar Dubagunta, Selen Hande Kabil, Mathew Magimai-Doss
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal. ICASSP (2019)
S. Pavankumar Dubagunta, Mathew Magimai-Doss
Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification. INTERSPEECH (2019)
Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition. Speech Commun. 108 (2019)
S. Pavankumar Dubagunta, Bogdan Vlasenko, Mathew Magimai-Doss
Learning Voice Source Related Information for Depression Detection. ICASSP (2019)
Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel
Understanding and Visualizing Raw Waveform-Based CNNs. INTERSPEECH (2019)
Bogdan Vlasenko, Jilt Sebastian, Pavan Kumar D. S., Mathew Magimai-Doss
Implementing Fusion Techniques for the Classification of Paralinguistic Information. INTERSPEECH (2018)
Selen Hande Kabil, Hannah Muckenhirn, Mathew Magimai-Doss
On Learning to Identify Genders from Raw Speech Signal Using CNNs. INTERSPEECH (2018)
Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel
On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs. INTERSPEECH (2018)
Jilt Sebastian, Manoj Kumar, Pavan Kumar D. S., Mathew Magimai-Doss, Hema A. Murthy, Shrikanth S. Narayanan
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. INTERSPEECH (2018)
Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss
Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models. Speech Commun. 96 (2018)
Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel
Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS. ICASSP (2018)
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
SMILE Swiss German Sign Language Dataset. LREC (2018)
Hannah Muckenhirn, Pavel Korshunov, Mathew Magimai-Doss, Sébastien Marcel
Long-Term Spectral Statistics for Voice Presentation Attack Detection. IEEE ACM Trans. Audio Speech Lang. Process. 25 (11) (2017)
Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel
End-to-End convolutional neural network-based voice presentation attack detection. IJCB (2017)
Marzieh Razavi, Mathew Magimai-Doss
A Posterior-Based Multistream Formulation for G2P Conversion. IEEE Signal Process. Lett. 24 (4) (2017)
Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss
Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework. Speech Commun. 80 (2016)
Ramya Rasipuram, Milos Cernak, Mathew Magimai-Doss
HMM-Based Non-Native Accent Assessment Using Posterior Features. INTERSPEECH (2016)
Marzieh Razavi, Mathew Magimai-Doss
Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery. INTERSPEECH (2016)
Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel
Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification. BIOSIG (2016)
Ramya Rasipuram, Mathew Magimai-Doss
Articulatory feature based continuous speech recognition using probabilistic lexical modeling. Comput. Speech Lang. 36 (2016)
Raphael Ullmann, Mathew Magimai-Doss, Hervé Bourlard
Objective speech intelligibility assessment through comparison of phoneme class conditional probability sequences. ICASSP (2015)
Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
Convolutional Neural Networks-based continuous speech recognition using raw speech signal. ICASSP (2015)
Marzieh Razavi, Mathew Magimai-Doss
An HMM-based formalism for automatic subword unit derivation and pronunciation generation. ICASSP (2015)
Raphael Ullmann, Ramya Rasipuram, Mathew Magimai-Doss, Hervé Bourlard
Objective intelligibility assessment of text-to-speech systems through utterance verification. INTERSPEECH (2015)
Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
Analysis of CNN-based speech recognition system using raw speech as input. INTERSPEECH (2015)
Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss
Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. ICASSP (2015)
Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
Learning linearly separable features for speech recognition using convolutional neural networks. ICLR (Workshop) (2015)
Ramya Rasipuram, Milos Cernak, Alexandre Nanchen, Mathew Magimai-Doss
Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. INTERSPEECH (2015)
Ramya Rasipuram, Mathew Magimai-Doss
Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model. Speech Commun. 68 (2015)
Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss
On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches. ICASSP (2014)
Marzieh Razavi, Mathew Magimai-Doss
On recognition of non-native speech using probabilistic lexical model. INTERSPEECH (2014)
Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
Joint phoneme segmentation inference and classification using CRFs. GlobalSIP (2014)
Weifeng Li, Longbiao Wang, Yicong Zhou, John Dines, Mathew Magimai-Doss, Hervé Bourlard, Qingmin Liao
Feature mapping of multiple beamformed sources for robust overlapping speech recognition using a microphone array. IEEE ACM Trans. Audio Speech Lang. Process. 22 (12) (2014)
Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. CoRR (2013)
Youssef Oualil, Mathew Magimai-Doss, Friedrich Faubel, Dietrich Klakow
A probabilistic framework for multiple speaker localization. ICASSP (2013)
Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. INTERSPEECH (2013)
David Imseng, Hervé Bourlard, John Dines, Philip N. Garner, Mathew Magimai-Doss
Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition. IEEE Trans. Speech Audio Process. 21 (8) (2013)
Sunder Ram Krishnan, Mathew Magimai-Doss, Chandra Sekhar Seelamantula
A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation. IEEE Signal Process. Lett. 20 (3) (2013)
Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks CoRR (2013)
Ramya Rasipuram, Peter Bell, Mathew Magimai-Doss
Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic. ICASSP (2013)
Ramya Rasipuram, Mathew Magimai-Doss
Improving grapheme-based ASR by probabilistic lexical modeling approach. INTERSPEECH (2013)
Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss
Probabilistic lexical modeling and unsupervised training for zero-resourced ASR. ASRU (2013)
Ramya Rasipuram, Mathew Magimai-Doss
Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM. ICASSP (2012)
Serena Soldo, Mathew Magimai-Doss, Hervé Bourlard
Template-based ASR using posterior features and synthetic references: comparing different TTS systems. SAPA@INTERSPEECH (2012)
Shajith Ikbal, Hemant Misra, Hynek Hermansky, Mathew Magimai-Doss
Phase AutoCorrelation (PAC) features for noise robust speech recognition. Speech Commun. 54 (7) (2012)
Serena Soldo, Mathew Magimai-Doss, Hervé Bourlard
Synthetic References for Template-based ASR using posterior features. INTERSPEECH (2012)
Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel
Boosting localized binary features for speech recognition. MLSLP (2012)
Ramya Rasipuram, Mathew Magimai-Doss
Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation. INTERSPEECH (2012)
Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel
A Fast Parts-Based Approach to Speaker Verification Using Boosted Slice Classifiers. IEEE Trans. Inf. Forensics Secur. 7 (1) (2012)
Youssef Oualil, Mathew Magimai-Doss, Friedrich Faubel, Dietrich Klakow
Joint detection and localization of multiple speakers using a probabilistic interpretation of the steered response power. SAPA@INTERSPEECH (2012)
Youssef Oualil, Friedrich Faubel, Mathew Magimai-Doss, Dietrich Klakow
A TDOA Gaussian mixture model for improving acoustic source tracking. EUSIPCO (2012)
Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel
Fast speaker verification on mobile phone data using boosted slice classifiers. IJCB (2011)
David Imseng, Hervé Bourlard, John Dines, Philip N. Garner, Mathew Magimai-Doss
Improving Non-Native ASR Through Stochastic Multilingual Phoneme Space Transformations. INTERSPEECH (2011)
Sree Hari Krishnan Parthasarathi, Daniel Gatica-Perez, Hervé Bourlard, Mathew Magimai-Doss
Privacy-Sensitive Audio Features for Speech/Nonspeech Detection. IEEE ACM Trans. Audio Speech Lang. Process. 19 (8) (2011)
David Imseng, Ramya Rasipuram, Mathew Magimai-Doss
Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition. ASRU (2011)
Mathew Magimai-Doss, Ramya Rasipuram, Guillermo Aradilla, Hervé Bourlard
Grapheme-Based Automatic Speech Recognition Using KL-HMM. INTERSPEECH (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mathew Magimai-Doss