Keywords:
- acoustic modeling
- Adaboost
- Alzheimer's disease
- Anti-spoofing
- articulatory features
- Artificial Neural Networks
- atypical speech
- Automatic accent assessment
- Automatic accent evaluation
- automatic gender recognition
- Automatic speaker verification (ASV)
- Automatic Speech Recognition
- automatic subword unit derivation
- bag of audio words
- bandwidth
- Binary features
- binary masking
- bioacoustics
- BoAW
- boosting
- breathing pattern estimation
- breathing patterns
- call type classification
- call-type and caller classification
- Children speech recognition
- Classification
- CNN visualization
- ComParE features
- computational efficiency
- Conditional Random Fields
- confidence measures
- continuous speech recognition boosted binary features resource management
- Convolution Neural Network
- Convolutional neural network
- Convolutional Neural Networks
- COVID-19 identification
- cross-database
- cross-transfer knowledge
- Customer satisfaction
- deep learning
- deep neural networks
- depression detection
- Direction of arrival estimation
- dynamic programming
- Dysarthria
- Dysarthric speech
- embedding
- Emotion Recognition
- end-to-end acoustic modeling
- End-to-end learning
- end-to-end modelling
- end-to-end training
- expected performance and spoofability curve
- Expressive Vocalizations
- feature representations
- feature selection
- Few-shot learning
- fine-tuning
- fixed-size word patterns
- Formant identification
- Formants
- Foundation Model
- Fundamental frequency
- Fusion
- Gaussian mixture
- glottal source signals.
- grapheme
- Grapheme subword units
- grapheme subwords
- grapheme-to- phoneme conversion
- grapheme-to-phoneme conversion
- grapheme-to-phoneme converter
- Graphemes
- Hidden Markov Model
- hidden Markov models
- human skeleton estimation
- human speech
- integration of ASV and anti-spoofing
- Inter-pretable Models
- isolated word recognition
- Kalman filters
- KL-divergence
- KL-HMM
- Kullback-Leibler divergence
- Kullback-Leibler divergence based hidden Markov model
- Kullback-Leibler divergence based HMM
- Kullback–Leibler divergence based hidden Markov model
- language disorder
- Language Production
- Large Language Models
- letter-to-sound rules
- lexical model
- Lexical modeling
- Lexicon
- local posterior probability
- localization
- long-term statistics
- LoRA
- low level descriptors
- Mental Lexicon
- microphone array
- microphone arrays
- mobile biometrics
- modalities fusion
- modified ZFF
- multi- layer perceptron
- Multi-modal Approach
- multi-stream combination
- Multi-task learning
- multilayer perceptron
- multilayer perceptron network
- multilingual acoustic modeling
- multiple linear regression
- Multiple speaker localization
- multiple speakers
- multiple-stream combination
- multitask learning
- neural network
- neurocomputational models
- Noise Robustness
- non-native speech
- non-native speech recognition
- Objective Evaluation
- Objective intelligibility
- Objective intelligibility Assessment
- objective measures
- overlapping speech recognition
- Paralinguistic speech processing
- Parkinson's disease
- Parkinson's disease detection
- Parkinson’s disease
- parts-based approach
- Pathological speech
- Pathological Speech Processing
- Peft
- Perceived fluency
- phoneme
- phoneme modeling
- Phoneme recognition
- phoneme subword units
- phoneme subwords
- phonemes
- Phonetic information
- phonetic representation
- Phonocardiogram
- Posterior features
- posterior probabilities
- pre-trained embedding
- pre-training domain
- predictive coding
- presentation attack
- Presentation Attack Detection
- probabilistic lexical modeling
- pronunciation generation
- pronunciation lexicon
- Raw Speech
- raw waveform modelling
- raw waveforms
- raw-waveform cnn
- Reading Assessment
- recognition
- recurrent neural network
- Respiratory parameters
- S1-S2 detection
- Scottish Gaelic
- segment-level training.
- Self-Organizing Maps
- Self-supervised embedding
- self-supervised learning
- sign language assessment
- Sign language processing
- signal processing
- sleepiness
- speaker verification
- speaker-specific features
- spectral statistics
- Speech Analysis
- speech and audio
- speech assessment
- Speech breathing
- Speech Emotion Recognition
- Speech enhancement
- Speech for health
- Speech intelligibility
- speech pathology detection
- speech recognition
- speech recognition.
- speech separation
- speech synthesis
- Speech technology
- Spoken Language Understanding
- Spoofing
- spoofing detection
- Steered response power
- String matching
- SVM
- syllable-level-features
- syllables
- synthetic reference templates.
- Synthetic speech
- TANDEM features
- template-based approach
- template-based system
- Text classification
- text-to-speech synthesis
- tracking
- under-resource speech recognition
- under-resourced languages
- universal phoneme set
- unsupervised adaptation
- utterance verification
- voice activity detection
- Voice Conversion
- zero frequency filter
- Zero frequency filtering
- zero-frequency filtering
- zero-resourced speech recognition
Publications of Mathew Magimai-Doss sorted by recency
| Speaker Change Detection with Privacy-Preserving Audio Cues, , , and , in: Proceedings of ICMI-MLMI 2009, 2009 |
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| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , in: Proceedings of Interspeech 2009, 2009 |
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| Hierarchical Processing of the Modulation Spectrum for GALE Mandarin LVCSR system, , , and , in: Proceedings of the 10thAnnual Conference of the International Speech Communication Association (Interspeech), Brighton, 2009 |
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| Speaker Change Detection with Privacy-Preserving Audio Cues, , , and , Idiap-RR-23-2009 |
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| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , Idiap-RR-12-2009 |
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| Posterior features applied to speech recognition tasks with user-defined vocabulary, , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009 |
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| Non-linear mapping for multi-channel speech separation and robust overlapping speech recognition, , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009 |
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| Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator, , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009 |
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| Integrating audio and vision for robust automatic gender recognition, and , Idiap-RR-73-2008 |
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| Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator, , , and , Idiap-RR-69-2008 |
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| Spectro-Temporal Activity Pattern (STAP) Features for Noise Robust ASR, , , and , Idiap-RR-20-2004 |
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| Using pitch frequency information in speech recognition, , and , Idiap-RR-23-2003 |
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| Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , Idiap-RR-21-2006 |
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| Using Auxiliary Sources of Knowledge for Automatic Speech Recognition, , Idiap-RR-90-2005 |
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| Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, , and , Idiap-RR-25-2002 |
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| Phoneme-Grapheme Based Speech Recognition System, , , and , Idiap-RR-37-2003 |
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| A Sector-Based, Frequency-Domain Approach to Detection and Localization of Multiple Speakers, and , Idiap-RR-54-2004 |
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| Modelling Auxiliary Features in Tandem Systems, , , and , Idiap-RR-21-2004 |
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| Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, , and , Idiap-RR-52-2003 |
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| Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks, , and , Idiap-RR-44-2002 |
| Threshold Selection for Unsupervised Detection, with an Application to Microphone Arrays, , , and , Idiap-RR-52-2005 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , Idiap-RR-11-2001 |
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| A Frequency-Domain Silence Noise Model, , and , Idiap-RR-13-2005 |
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| Unsupervised Spectral Substraction for Noise-Robust ASR, , , and , Idiap-RR-42-2005 |
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| Speech recognition with auxiliary information, , and , Idiap-RR-58-2002 |
| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , Idiap-RR-45-2001 |
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| Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , Idiap-RR-24-2002 |
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| Automatic Speech Recognition using Pitch Information in Dynamic Bayesian Networks, , and , Idiap-RR-41-2000 |
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| Pronunciation models and their evaluation using confidence measures, and , Idiap-RR-29-2001 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , in: 7th European Conference on Speech Communication and Technology (Eurospeech~2001), 2001 |
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| Modelling auxiliary information (pitch frequency) in hybrid HMM/ANN based ASR systems, , and , Idiap-RR-62-2002 |
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| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , in: International Conference on Pattern Recognition (ICPR~2002), 2002 |
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| Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , in: 2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002), 2002 |
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| Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, , and , in: Seventh International Conference on Spoken Language Processing (ICSLP~2002), 2002 |
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| Using pitch frequency information in speech recognition, , and , in: Proceedings of Eurospeech, 2003 |
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| Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks, , and , in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003 |
| Phoneme-Grapheme Based Speech Recognition System, , , and , in: Proceedings of IEEE ASRU, 2003 |
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| Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, , and , in: Proceedings of ICASSP, 2004 |
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| Towards using hierarchical posteriors for flexible automatic speech recognition systems, , , , , and , Idiap-RR-58-2004 |
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| Speech recognition with auxiliary information, , and , in: IEEE Trans. on Speech and Audio Processing, 4, 2004 |
| Spectro-Temporal Activity Pattern (STAP) Features for Noise Robust ASR, , , and , in: Proceedings of the INTERSPEECH-ICSLP-04, 2004 |
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| Phoneme vs Grapheme Based Automatic Speech Recognition, , , and , Idiap-RR-48-2004 |
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| On the Adequacy of Baseform Pronunciations and Pronunciation Variants, and , Idiap-RR-27-2004 |
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| Modelling Auxiliary Features in Tandem Systems, , , and , in: Proceedings of ICSLP, 2004 |
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| HMM/ANN Based Spectral Peak Location Estimation for Noise Robust Speech Recognition, , and , Idiap-RR-50-2004 |
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| Using Auxiliary Sources of Knowledge for Automatic Speech Recognition, , École Polytechnique Fédérale de Lausanne, Computer Science Department, 2005 |
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| Unsupervised Spectral Subtraction for Noise-Robust ASR, , , and , in: Proceedings of the 2005 IEEE ASRU Workshop, 2005 |
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| Threshold Selection for Unsupervised Detection, with an Application to Microphone Arrays, , and , in: Proceedings of ICASSP 2006, 2006 |
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| Improving Continuous Speech Recognition System Performance with Grapheme Modelling, , , and , Idiap-RR-16-2005 |
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