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
- Binary features
- binary masking
- BoAW
- boosting
- breathing pattern estimation
- breathing patterns
- 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
- 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 selection
- Few-shot learning
- fine-tuning
- fixed-size word patterns
- Formant identification
- Formants
- 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
- 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
- letter-to-sound rules
- lexical model
- Lexical modeling
- Lexicon
- local posterior probability
- localization
- long-term statistics
- 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
- 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
- parts-based approach
- Pathological speech
- Pathological Speech Processing
- 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
- 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 assessment
- Speech breathing
- Speech Emotion Recognition
- Speech enhancement
- Speech intelligibility
- speech recognition
- speech recognition.
- speech separation
- speech synthesis
- Speech technology
- Spoofing
- spoofing detection
- Steered response power
- String matching
- SVM
- syllable-level-features
- 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 journal and type
IAPR IEEE International Joint Conference on Biometrics (2011)
| Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers, , and , in: IAPR IEEE International Joint Conference on Biometrics, Washington DC, 2011 |
|
Proceedings of Interspeech (2011)
| Grapheme-based Automatic Speech Recognition using KL-HMM, , , and , in: Proceedings of Interspeech, 2011 |
|
| Hierarchical Tandem Features for ASR in Mandarin, , and , in: Proceedings of Interspeech, 2011 |
Artificial Neural Networks and Machine Learning - ICANN 2011 (2011)
| Improving Articulatory Feature and Phoneme Recognition using Multitask Learning, and , in: Artificial Neural Networks and Machine Learning - ICANN 2011, pages 299-306, Springer Berlin / Heidelberg, 2011 |
[DOI] [URL] |
Proceedings of Interspeech (2011)
| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , in: Proceedings of Interspeech, Florence, Italy, pages 537-540, 2011 |
|
Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (2011)
| Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pages 5192 - 5195, 2011 |
[DOI] |
Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (2011)
| Language dependent universal phoneme posterior estimation for mixed language speech recognition, , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Prag, CZ, pages 5012-5015, 2011 |
|
IEEE Intl. Conference on Acoustics, Speech and Signal Processing 2011 (2011)
| Phoneme Recognition using Boosted Binary Features, , and , in: IEEE Intl. Conference on Acoustics, Speech and Signal Processing 2011, 2011 |
|
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (2011)
| Posterior Features for Template-based ASR, , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 2011 |
|
Proceedings of Interspeech, Japan (2010)
| A Comparative Study of MLP Front-ends for Mandarin ASR, , , , and , in: Proceedings of Interspeech, Japan, 2010 |
|
2010 IEEE International Conference on Acoustics, Speech and Signal Processing (2010)
| BOOSTED BINARY FEATURES FOR NOISE-ROBUST SPEAKER VERIFICATION, , and , in: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, 2010 |
|
ICASSP 2010 (2010)
| Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios, , , and , in: ICASSP 2010, 2010 |
|
Proceedings of Interspeech (2010)
| Hierarchical Multilayer Perceptron based Language Identification, , and , in: Proceedings of Interspeech, Makuhari, Japan, pages 2722-2725, 2010 |
|
| Towards mixed language speech recognition systems, , and , in: Proceedings of Interspeech, Makuhari, Japan, pages 278-281, 2010 |
|
Proceedings of the 10thAnnual Conference of the International Speech Communication Association (Interspeech) (2009)
| 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 |
|
Proceedings of Interspeech 2009 (2009)
| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , in: Proceedings of Interspeech 2009, 2009 |
|
Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding (2009)
| MLP Based Hierarchical System for Task Adaptation in ASR, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, 2009 |
|
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2009)
| 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 |
|
| 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 |
|
Proceedings of ICMI-MLMI 2009 (2009)
| Speaker Change Detection with Privacy-Preserving Audio Cues, , , and , in: Proceedings of ICMI-MLMI 2009, 2009 |
|
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2009)
| 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 |
|
"{IEEE} Int. Conf. on Acoustics, Speech, and Signal Processing ({ICASSP})" (2008)
| Exploiting Contextual Information for Improved Phoneme Recognition, , , and , in: "IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP)", 2008 |
|
3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms {MLMI'06} (2006)
| Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , in: 3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms MLMI'06, 2006 |
|
Proceedings of {ICASSP} 2006 (2006)
| Threshold Selection for Unsupervised Detection, with an Application to Microphone Arrays, , and , in: Proceedings of ICASSP 2006, 2006 |
|
Proceedings of {ICASSP} 2005 (2005)
| A Sector-Based, Frequency-Domain Approach to Detection and Localization of Multiple Speakers, and , in: Proceedings of ICASSP 2005, 2005 |
|
Proceedings of {INTERSPEECH} 2005 (2005)
| A Spectrogram Model for Enhanced Source Localization and Noise-Robust ASR, , and , in: Proceedings of INTERSPEECH 2005, 2005 |
|
Proceedings of the 2005 {IEEE} {ASRU} {W}orkshop (2005)
| Unsupervised Spectral Subtraction for Noise-Robust ASR, , , and , in: Proceedings of the 2005 IEEE ASRU Workshop, 2005 |
|
Proceedings of ICASSP (2004)
| Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, , and , in: Proceedings of ICASSP, 2004 |
|
Proceedings of ICSLP (2004)
| Modelling Auxiliary Features in Tandem Systems, , , and , in: Proceedings of ICSLP, 2004 |
|
Proceedings of the INTERSPEECH-ICSLP-04 (2004)
| Spectro-Temporal Activity Pattern (STAP) Features for Noise Robust ASR, , , and , in: Proceedings of the INTERSPEECH-ICSLP-04, 2004 |
|
Proceedings of IEEE ASRU (2003)
| Phoneme-Grapheme Based Speech Recognition System, , , and , in: Proceedings of IEEE ASRU, 2003 |
|
Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03) (2003)
| 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 |
Proceedings of Eurospeech (2003)
| Using pitch frequency information in speech recognition, , and , in: Proceedings of Eurospeech, 2003 |
|
Seventh International Conference on Spoken Language Processing (ICSLP~2002) (2002)
| Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, , and , in: Seventh International Conference on Spoken Language Processing (ICSLP~2002), 2002 |
|
2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002) (2002)
| 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 |
|
International Conference on Pattern Recognition (ICPR~2002) (2002)
| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , in: International Conference on Pattern Recognition (ICPR~2002), 2002 |
|
7th European Conference on Speech Communication and Technology (Eurospeech~2001) (2001)
| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , in: 7th European Conference on Speech Communication and Technology (Eurospeech~2001), 2001 |
|
International Conference on Acoustics, Speech and Signal Processing (2024)
| COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, , and , in: International Conference on Acoustics, Speech and Signal Processing, 2024 |
|
Publications of type Phdthesis
2005
| Using Auxiliary Sources of Knowledge for Automatic Speech Recognition, , École Polytechnique Fédérale de Lausanne, Computer Science Department, 2005 |
|