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Mathew M. Doss
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2020 – today
- 2024
[j23]Vishal Kumar
, Vinayak Abrol, Mathew Magimai-Doss:
On the Quantization of Neural Models for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4226-4236 (2024)- [c127]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: 3815-3819 - [c126]Sevada Hovsepyan, Mathew Magimai-Doss:
Syllable Level Features for Parkinson's Disease Detection from Speech. ICASSP 2024: 11416-11420 - [c125]Bogdan Vlasenko, Sargam Vyas, Mathew Magimai-Doss:
Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition. ICASSP 2024: 11841-11845 - [i10]Gasser Elbanna, Zohreh Mostaani, Mathew Magimai-Doss:
Predicting Heart Activity from Speech using Data-driven and Knowledge-based features. CoRR abs/2406.06341 (2024) - [i9]Eklavya Sarkar, Mathew Magimai-Doss:
On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis. CoRR abs/2407.16417 (2024) - [i8]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 abs/2407.21414 (2024) - [i7]Karl El Hajal, Ajinkya Kulkarni, Enno Hermann, Mathew Magimai-Doss:
SSL-TTS: Leveraging Self-Supervised Embeddings and kNN Retrieval for Zero-Shot Multi-speaker TTS. CoRR abs/2408.10771 (2024) - [i6]Imen Ben Mahmoud, Eklavya Sarkar, Marta B. Manser, Mathew Magimai-Doss:
Feature Representations for Automatic Meerkat Vocalization Classification. CoRR abs/2408.15296 (2024) - 2023
- [c124]Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta, Mathew Magimai-Doss:
Towards Learning Emotion Information from Short Segments of Speech. ICASSP 2023: 1-5 - [c123]Enno Hermann, Mathew Magimai-Doss:
Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation. INTERSPEECH 2023: 156-160 - [c122]Eklavya Sarkar, Mathew Magimai-Doss:
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? INTERSPEECH 2023: 1189-1193 - [c121]Tilak Purohit, Bogdan Vlasenko, Mathew Magimai-Doss:
Implicit phonetic information modeling for speech emotion recognition. INTERSPEECH 2023: 1883-1887 - [c120]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: 4573-4577 - [i5]Eklavya Sarkar, Mathew Magimai-Doss:
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? CoRR abs/2305.14035 (2023) - 2022
- [j22]S. Pavankumar Dubagunta, Rob J. J. H. van Son, Mathew Magimai-Doss:
Adjustable deterministic pseudonymization of speech. Comput. Speech Lang. 72: 101284 (2022) - [c119]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: 8482-8486 - [c118]S. Pavankumar Dubagunta, Edoardo Moneta, Eleni Theocharopoulos, Mathew Magimai-Doss:
Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings. ICMI Companion 2022: 7-11 - [c117]Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar, Mathew Magimai-Doss:
Towards Accessible Sign Language Assessment and Learning. ICMI 2022: 626-631 - [c116]Zohreh Mostaani, Mathew Magimai-Doss:
On Breathing Pattern Information in Synthetic Speech. INTERSPEECH 2022: 2768-2772 - [c115]Eklavya Sarkar, RaviShankar Prasad, Mathew Magimai-Doss:
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering. INTERSPEECH 2022: 4626-4630 - [c114]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: 37-45 - [i4]Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko, Mathew Magimai-Doss:
Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track. CoRR abs/2206.11968 (2022) - 2021
- [j21]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: 211-224 (2021) - [j20]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) - [j19]Julian Fritsch, Mathew Magimai-Doss:
Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features. IEEE Signal Process. Lett. 28: 224-228 (2021) - [j18]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: 1579-1593 (2021) - [c113]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: 1-5 - [c112]Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik, Mathew Magimai-Doss:
Phoneme Based Respiratory Analysis of Read Speech. EUSIPCO 2021: 191-195 - [c111]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: 1345-1349 - [c110]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: 557-566 - [c109]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: 26-30 - [c108]RaviShankar Prasad, Mathew Magimai-Doss:
Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering. Interspeech 2021: 56-60 - [c107]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: 1927-1931 - [c106]Enno Hermann, Mathew Magimai-Doss:
Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination. Interspeech 2021: 4788-4792 - [c105]Bogdan Vlasenko, RaviShankar Prasad, Mathew Magimai-Doss:
Fusion of Acoustic and Linguistic Information using Supervised Autoencoder for Improved Emotion Recognition. MuSe @ ACM Multimedia 2021: 51-59 - [i3]Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai-Doss:
An Objective Evaluation Framework for Pathological Speech Synthesis. CoRR abs/2107.00308 (2021) - 2020
- [c104]RaviShankar Prasad, Gürkan Yilmaz, Olivier Chételat, Mathew Magimai-Doss:
Detection Of S1 And S2 Locations In Phonocardiogram Signals Using Zero Frequency Filter. ICASSP 2020: 1254-1258 - [c103]Enno Hermann, Mathew Magimai-Doss:
Dysarthric Speech Recognition with Lattice-Free MMI. ICASSP 2020: 6109-6113 - [c102]Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
Towards Multilingual Sign Language Recognition. ICASSP 2020: 6309-6313 - [c101]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: 6534-6538 - [c100]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: 102-106 - [c99]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: 2182-2186 - [c98]Sandrine Tornay, Oya Aran, Mathew Magimai-Doss:
An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition. LREC 2020: 6049-6056
2010 – 2019
- 2019
- [j17]Sandrine Tornay, Mathew Magimai-Doss:
Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs. Inf. 10(10): 298 (2019) - [j16]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: 15-32 (2019) - [c97]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: 2817-2821 - [c96]S. Pavankumar Dubagunta, Selen Hande Kabil, Mathew Magimai-Doss:
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal. ICASSP 2019: 5736-5740 - [c95]S. Pavankumar Dubagunta, Mathew Magimai-Doss:
Segment-level Training of ANNs Based on Acoustic Confidence Measures for Hybrid HMM/ANN Speech Recognition. ICASSP 2019: 6435-6439 - [c94]S. Pavankumar Dubagunta, Bogdan Vlasenko, Mathew Magimai-Doss:
Learning Voice Source Related Information for Depression Detection. ICASSP 2019: 6525-6529 - [c93]Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel:
Understanding and Visualizing Raw Waveform-Based CNNs. INTERSPEECH 2019: 2345-2349 - [c92]S. Pavankumar Dubagunta, Mathew Magimai-Doss:
Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect Identification. INTERSPEECH 2019: 2383-2387 - 2018
- [j15]Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss:
Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models. Speech Commun. 96: 168-183 (2018) - [c91]Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel:
Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS. ICASSP 2018: 4884-4888 - [c90]Selen Hande Kabil, Hannah Muckenhirn, Mathew Magimai-Doss:
On Learning to Identify Genders from Raw Speech Signal Using CNNs. INTERSPEECH 2018: 287-291 - [c89]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: 292-296 - [c88]Bogdan Vlasenko, Jilt Sebastian, Pavan Kumar D. S., Mathew Magimai-Doss:
Implementing Fusion Techniques for the Classification of Paralinguistic Information. INTERSPEECH 2018: 526-530 - [c87]Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel:
On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs. INTERSPEECH 2018: 1116-1120 - [c86]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 - 2017
- [j14]Marzieh Razavi, Mathew Magimai-Doss:
A Posterior-Based Multistream Formulation for G2P Conversion. IEEE Signal Process. Lett. 24(4): 475-479 (2017) - [j13]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): 2098-2111 (2017) - [c85]Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel:
End-to-End convolutional neural network-based voice presentation attack detection. IJCB 2017: 335-341 - 2016
- [j12]Ramya Rasipuram, Mathew Magimai-Doss:
Articulatory feature based continuous speech recognition using probabilistic lexical modeling. Comput. Speech Lang. 36: 233-259 (2016) - [j11]Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss:
Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework. Speech Commun. 80: 1-21 (2016) - [c84]Hannah Muckenhirn, Mathew Magimai-Doss, Sébastien Marcel:
Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification. BIOSIG 2016: 123-134 - [c83]Ramya Rasipuram, Milos Cernak, Mathew Magimai-Doss:
HMM-Based Non-Native Accent Assessment Using Posterior Features. INTERSPEECH 2016: 3137-3141 - [c82]Marzieh Razavi, Mathew Magimai-Doss:
Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery. INTERSPEECH 2016: 3873-3877 - 2015
- [j10]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: 23-40 (2015) - [c81]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Convolutional Neural Networks-based continuous speech recognition using raw speech signal. ICASSP 2015: 4295-4299 - [c80]Marzieh Razavi, Mathew Magimai-Doss:
An HMM-based formalism for automatic subword unit derivation and pronunciation generation. ICASSP 2015: 4639-4643 - [c79]Raphael Ullmann, Mathew Magimai-Doss, Hervé Bourlard:
Objective speech intelligibility assessment through comparison of phoneme class conditional probability sequences. ICASSP 2015: 4924-4928 - [c78]Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss:
Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling. ICASSP 2015: 5176-5180 - [c77]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Analysis of CNN-based speech recognition system using raw speech as input. INTERSPEECH 2015: 11-15 - [c76]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: 648-652 - [c75]Raphael Ullmann, Ramya Rasipuram, Mathew Magimai-Doss, Hervé Bourlard:
Objective intelligibility assessment of text-to-speech systems through utterance verification. INTERSPEECH 2015: 3501-3505 - [c74]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Learning linearly separable features for speech recognition using convolutional neural networks. ICLR (Workshop) 2015 - 2014
- [j9]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): 2244-2255 (2014) - [c73]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Joint phoneme segmentation inference and classification using CRFs. GlobalSIP 2014: 587-591 - [c72]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: 7659-7663 - [c71]Marzieh Razavi, Mathew Magimai-Doss:
On recognition of non-native speech using probabilistic lexical model. INTERSPEECH 2014: 26-30 - 2013
- [j8]Sunder Ram Krishnan, Mathew Magimai-Doss, Chandra Sekhar Seelamantula:
A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation. IEEE Signal Process. Lett. 20(3): 281-284 (2013) - [j7]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): 1713-1726 (2013) - [c70]Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss:
Probabilistic lexical modeling and unsupervised training for zero-resourced ASR. ASRU 2013: 446-451 - [c69]Youssef Oualil, Mathew Magimai-Doss, Friedrich Faubel, Dietrich Klakow:
A probabilistic framework for multiple speaker localization. ICASSP 2013: 3962-3966 - [c68]Ramya Rasipuram, Peter Bell, Mathew Magimai-Doss:
Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic. ICASSP 2013: 7334-7338 - [c67]Ramya Rasipuram, Mathew Magimai-Doss:
Improving grapheme-based ASR by probabilistic lexical modeling approach. INTERSPEECH 2013: 505-509 - [c66]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. INTERSPEECH 2013: 1766-1770 - [i2]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks. CoRR abs/1304.1018 (2013) - [i1]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. CoRR abs/1312.2137 (2013) - 2012
- [j6]Shajith Ikbal, Hemant Misra, Hynek Hermansky, Mathew Magimai-Doss:
Phase AutoCorrelation (PAC) features for noise robust speech recognition. Speech Commun. 54(7): 867-880 (2012) - [j5]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): 241-254 (2012) - [c65]Youssef Oualil, Friedrich Faubel, Mathew Magimai-Doss, Dietrich Klakow:
A TDOA Gaussian mixture model for improving acoustic source tracking. EUSIPCO 2012: 1339-1343 - [c64]Ramya Rasipuram, Mathew Magimai-Doss:
Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM. ICASSP 2012: 4841-4844 - [c63]Serena Soldo, Mathew Magimai-Doss, Hervé Bourlard:
Template-based ASR using posterior features and synthetic references: comparing different TTS systems. SAPA@INTERSPEECH 2012: 52-57 - [c62]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: 68-73 - [c61]Yang Sun, Mathew M. Doss, Jort F. Gemmeke, Bert Cranen, Louis ten Bosch, Lou Boves:
Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR. INTERSPEECH 2012: 310-313 - [c60]Ramya Rasipuram, Mathew Magimai-Doss:
Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation. INTERSPEECH 2012: 1820-1823 - [c59]Yang Sun, Bert Cranen, Jort F. Gemmeke, Louis ten Bosch, Lou Boves, Mathew M. Doss:
Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR. INTERSPEECH 2012: 2142-2145 - [c58]Serena Soldo, Mathew Magimai-Doss, Hervé Bourlard:
Synthetic References for Template-based ASR using posterior features. INTERSPEECH 2012: 2146-2149 - [c57]Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel:
Boosting localized binary features for speech recognition. MLSLP 2012: 18-21 - 2011
- [j4]Joel Pinto, Garimella S. V. S. Sivaram, Mathew Magimai-Doss, Hynek Hermansky, Hervé Bourlard:
Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator. IEEE Trans. Speech Audio Process. 19(2): 225-241 (2011) - [j3]Fabio Valente, Mathew Magimai-Doss, Christian Plahl, Suman V. Ravuri, Wen Wang:
Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2439-2450 (2011) - [j2]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): 2538-2551 (2011) - [c56]David Imseng, Ramya Rasipuram, Mathew Magimai-Doss:
Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition. ASRU 2011: 348-353 - [c55]Ramya Rasipuram, Mathew Magimai-Doss:
Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning. ICANN (1) 2011: 299-306 - [c54]Serena Soldo, Mathew Magimai-Doss, Joel Pinto, Hervé Bourlard:
Posterior features for template-based ASR. ICASSP 2011: 4864-4867 - [c53]Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel:
Phoneme recognition using Boosted Binary Features. ICASSP 2011: 4868-4871 - [c52]David Imseng, Hervé Bourlard, Mathew Magimai-Doss, John Dines:
Language dependent universal phoneme posterior estimation for mixed language speech recognition. ICASSP 2011: 5012-5015 - [c51]Ramya Rasipuram, Mathew Magimai-Doss:
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition. ICASSP 2011: 5192-5195 - [c50]Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel:
Fast speaker verification on mobile phone data using boosted slice classifiers. IJCB 2011: 1-6 - [c49]Mathew Magimai-Doss, Ramya Rasipuram, Guillermo Aradilla, Hervé Bourlard:
Grapheme-Based Automatic Speech Recognition Using KL-HMM. INTERSPEECH 2011: 445-448 - [c48]David Imseng, Hervé Bourlard, John Dines, Philip N. Garner, Mathew Magimai-Doss:
Improving Non-Native ASR Through Stochastic Multilingual Phoneme Space Transformations. INTERSPEECH 2011: 537-540 - [c47]Joel Pinto, Mathew Magimai-Doss, Hervé Bourlard:
Hierarchical Tandem Features for ASR in Mandarin. INTERSPEECH 2011: 1241-1244 - [c46]Fabio Valente, Mathew Magimai-Doss, Wen Wang:
Analysis and Comparison of Recent MLP Features for LVCSR Systems. INTERSPEECH 2011: 1245-1248 - 2010
- [c45]Anindya Roy, Mathew Magimai-Doss, Sébastien Marcel:
Boosted binary features for noise-robust speaker verification. ICASSP 2010: 4442-4445 - [c44]Sree Hari Krishnan Parthasarathi, Mathew Magimai-Doss, Hervé Bourlard, Daniel Gatica-Perez:
Evaluating the robustness of privacy-sensitive audio features for speech detection in personal audio log scenarios. ICASSP 2010: 4474-4477 - [c43]David Imseng, Hervé Bourlard, Mathew Magimai-Doss:
Towards mixed language speech recognition systems. INTERSPEECH 2010: 278-281 - [c42]Fabio Valente, Mathew Magimai-Doss, Christian Plahl, Suman V. Ravuri, Wen Wang:
A comparative large scale study of MLP features for Mandarin ASR. INTERSPEECH 2010: 2630-2633 - [c41]David Imseng, Mathew Magimai-Doss, Hervé Bourlard:
Hierarchical multilayer perceptron based language identification. INTERSPEECH 2010: 2722-2725
2000 – 2009
- 2009
- [c40]Joel Pinto, Mathew Magimai-Doss, Hervé Bourlard:
MLP based hierarchical system for task adaptation in ASR. ASRU 2009: 365-370 - [c39]Joel Pinto, Garimella S. V. S. Sivaram, Hynek Hermansky, Mathew Magimai-Doss:
Volterra series for analyzing MLP based phoneme posterior estimator. ICASSP 2009: 1813-1816 - [c38]Guillermo Aradilla, Hervé Bourlard, Mathew Magimai-Doss:
Posterior features applied to speech recognition tasks with user-defined vocabulary. ICASSP 2009: 3809-3812 - [c37]Weifeng Li, John Dines, Mathew Magimai-Doss, Hervé Bourlard:
Non-linear mapping for multi-channel speech separation and robust overlapping spech recognition. ICASSP 2009: 3921-3924 - [c36]Sree Hari Krishnan Parthasarathi, Mathew Magimai-Doss, Daniel Gatica-Perez, Hervé Bourlard:
Speaker change detection with privacy-preserving audio cues. ICMI 2009: 343-346 - [c35]Sree Hari Krishnan Parthasarathi, Mathew Magimai-Doss, Hervé Bourlard, Daniel Gatica-Perez:
Investigating privacy-sensitive features for speech detection in multiparty conversations. INTERSPEECH 2009: 2243-2246 - [c34]Fabio Valente, Mathew Magimai-Doss, Christian Plahl, Suman V. Ravuri:
Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system. INTERSPEECH 2009: 2963-2966 - 2008
- [c33]Weifeng Li, Mathew Magimai-Doss, John Dines, Hervé Bourlard:
MLP-based log spectral energy mapping for robust overlapping speech recognition. EUSIPCO 2008: 1-5 - [c32]Tamara Tosic, Mathew Magimai-Doss, Hynek Hermansky:
Using comparison of parallel phoneme probability streams for OOV word detection. EUSIPCO 2008: 1-5 - [c31]Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mathew Magimai-Doss:
Exploiting contextual information for improved phoneme recognition. ICASSP 2008: 4449-4452 - [c30]Guillermo Aradilla, Hervé Bourlard, Mathew Magimai-Doss:
Using KL-based acoustic models in a large vocabulary recognition task. INTERSPEECH 2008: 928-931 - [c29]Weifeng Li, John Dines, Mathew Magimai-Doss, Hervé Bourlard:
Neural network based regression for robust overlapping speech recognition using microphone arrays. INTERSPEECH 2008: 2012-2015 - [c28]Weifeng Li, Ken'ichi Kumatani, John Dines, Mathew Magimai-Doss, Hervé Bourlard:
A Neural Network Based Regression Approach for Recognizing Simultaneous Speech. MLMI 2008: 110-118 - 2007
- [c27]Özgür Çetin, Mathew Magimai-Doss, Karen Livescu, Arthur Kantor, Simon King, Chris D. Bartels, Joe Frankel:
Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPS. ASRU 2007: 36-41 - [c26]Andreas Stolcke, Xavier Anguera, Kofi Boakye, Özgür Çetin, Adam Janin, Mathew Magimai-Doss, Chuck Wooters, Jing Zheng:
The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System. CLEAR 2007: 450-463 - [c25]Mathew Magimai-Doss, Dilek Hakkani-Tür, Özgür Çetin, Elizabeth Shriberg, James G. Fung, Nikki Mirghafori:
Entropy Based Classifier Combination for Sentence Segmentation. ICASSP (4) 2007: 189-192 - [c24]Octavian Cheng, John Dines, Mathew Magimai-Doss:
A Generalized Dynamic Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition. ICASSP (4) 2007: 345-348 - [c23]Karen Livescu, Özgür Çetin, Mark Hasegawa-Johnson, Simon King, Chris D. Bartels, Nash M. Borges, Arthur Kantor, Partha Lal, Lisa Yung, Ari Bezman, Stephen Dawson-Haggerty, Bronwyn Woods, Joe Frankel, Mathew Magimai-Doss, Kate Saenko:
Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. ICASSP (4) 2007: 621-624 - [c22]Özgür Çetin, Arthur Kantor, Simon King, Chris D. Bartels, Mathew Magimai-Doss, Joe Frankel, Karen Livescu:
An Articulatory Feature-Based Tandem Approach and Factored Observation Modeling. ICASSP (4) 2007: 645-648 - [c21]Karen Livescu, Ari Bezman, Nash M. Borges, Lisa Yung, Özgür Çetin, Joe Frankel, Simon King, Mathew Magimai-Doss, Xuemin Chi, Lisa Lavoie:
Manual Transcription of Conversational Speech at the Articulatory Feature Level. ICASSP (4) 2007: 953-956 - [c20]Evgeny Matusov, Dustin Hillard, Mathew Magimai-Doss, Dilek Hakkani-Tür, Mari Ostendorf, Hermann Ney:
Improving speech translation with automatic boundary prediction. INTERSPEECH 2007: 2449-2452 - [c19]Joe Frankel, Mathew Magimai-Doss, Simon King, Karen Livescu, Özgür Çetin:
Articulatory feature classifiers trained on 2000 hours of telephone speech. INTERSPEECH 2007: 2485-2488 - [c18]James G. Fung, Dilek Hakkani-Tür, Mathew Magimai-Doss, Elizabeth Shriberg, Sébastien Cuendet, Nikki Mirghafori:
Cross-linguistic analysis of prosodic features for sentence segmentation. INTERSPEECH 2007: 2585-2588 - [c17]John Dines, Mathew Magimai-Doss:
A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems. MLMI 2007: 215-226 - 2006
- [c16]Guillaume Lathoud, Mathew Magimai-Doss, Hervé Bourlard:
Threshold Selection for Unsupervised Detection, With an Application to Microphone Arrays. ICASSP (3) 2006: 285-288 - [c15]Darren Moore, John Dines, Mathew Magimai-Doss, Jithendra Vepa, Octavian Cheng, Thomas Hain:
Juicer: A Weighted Finite-State Transducer Speech Decoder. MLMI 2006: 285-296 - 2005
- [c14]Guillaume Lathoud, Mathew Magimai-Doss:
A sector-based, frequency-domain approach to detection and localization of multiple speakers. ICASSP (3) 2005: 265-268 - [c13]Shajith Ikbal, Hervé Bourlard, Mathew Magimai-Doss:
HMM/ANN Based Spectral Peak Location Estimation for Noise Robust Speech Recognition. ICASSP (1) 2005: 453-456 - [c12]Guillaume Lathoud, Mathew Magimai-Doss, Bertrand Mesot:
A spectrogram model for enhanced source localization and noise-robust ASR. INTERSPEECH 2005: 2345-2348 - 2004
- [j1]Todd A. Stephenson, Mathew Magimai-Doss, Hervé Bourlard:
Speech recognition with auxiliary information. IEEE Trans. Speech Audio Process. 12(3): 189-203 (2004) - [c11]Mathew Magimai-Doss, Samy Bengio, Hervé Bourlard:
Joint decoding for phoneme-grapheme continuous speech recognition. ICASSP (1) 2004: 177-180 - [c10]Mathew Magimai-Doss, Shajith Ikbal, Todd A. Stephenson, Hervé Bourlard:
Modeling auxiliary features in tandem systems. INTERSPEECH 2004: 1501-1504 - [c9]Shajith Ikbal, Mathew Magimai-Doss, Hemant Misra, Hervé Bourlard:
Spectro-temporal activity pattern (STAP) features for noise robust ASR. INTERSPEECH 2004: 2109-2112 - [c8]Mathew Magimai-Doss, Hervé Bourlard:
On the Adequacy of Baseform Pronunciations and Pronunciation Variants. MLMI 2004: 209-222 - 2003
- [c7]Todd A. Stephenson, Mathew Magimai-Doss, Hervé Bourlard:
Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks. ICASSP (1) 2003: 20-23 - [c6]B. Yegnanarayana, S. R. Mahadeva Prasanna, Mathew Magimai-Doss:
Enhancement of speech in multispeaker environment. INTERSPEECH 2003: 581-584 - [c5]Mathew Magimai-Doss, Todd A. Stephenson, Hervé Bourlard:
Using pitch frequency information in speech recognition. INTERSPEECH 2003: 2525-2528 - 2002
- [c4]Todd A. Stephenson, Mathew Magimai-Doss, Hervé Bourlard:
Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition. ICPR (4) 2002: 293- - [c3]Todd A. Stephenson, Mathew Magimai-Doss, Hervé Bourlard:
Auxiliary variables in conditional Gaussian mixtures for automatic speech recognition. INTERSPEECH 2002: 2665-2668 - [c2]Todd A. Stephenson, Jaume Escofet, Mathew Magimai-Doss, Hervé Bourlard:
Dynamic Bayesian network based speech recognition with pitch and energy as auxiliary variables. NNSP 2002: 637-646 - 2001
- [c1]Todd A. Stephenson, Mathew Magimai-Doss, Hervé Bourlard:
Modeling auxiliary information in Bayesian network based ASR. INTERSPEECH 2001: 2765-2768
Coauthor Index
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