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
- 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
- Large Language Models
- 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 and audio
- speech assessment
- Speech breathing
- Speech Emotion Recognition
- Speech enhancement
- Speech intelligibility
- 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
- 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
| On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014 |
[DOI] |
| Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , Idiap-RR-02-2014 |
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| Speech Processing, , in: Interactive Multimodal Information Management, pages 221--245, EPFL Press, 2013 |
| Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition, , and , in: Proceedings of IEEE TENCON, 2013 |
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| A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation, , and , in: IEEE Signal Processing Letters, 20(3):281 -- 284, 2013 |
[DOI] |
| A Probabilistic Framework for Multiple Speaker Localization, , , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 |
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| On Modeling Context-dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , Idiap-RR-43-2013 |
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| End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks, , and , Idiap-RR-40-2013 |
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| Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , in: Proceedings of Interspeech, 2013 |
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| Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013 |
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| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , in: Proceedings of Interspeech, 2013 |
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| Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition, and , Idiap-RR-15-2013 |
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| Applying multi- and cross-lingual stochastic phone space transformations to non-native speech recognition, , , , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 2013 |
[DOI] |
| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , Idiap-RR-14-2013 |
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| Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , Idiap-RR-13-2013 |
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| Grapheme and Multilingual Posterior Features for Under-Resourced Speech Recognition: A Study on Scottish Gaelic, , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 |
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| KL-HMM and Probabilistic Lexical Modeling, and , Idiap-RR-04-2013 |
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| A Probabilistic Framework for Multiple Speaker Localization, , , and , Idiap-RR-37-2012 |
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| Grapheme and Multilingual Posterior Features For Under-Resource Speech Recognition: A Study on Scottish Gaelic, , and , Idiap-RR-34-2012 |
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| Using Sparse Classification Outputs as Feature Observations for Noise Robust ASR, , , , , and , in: Proceedings of Interspeech, 2012 |
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| Combination of Sparse Classification and Multilayer Perceptron for Noise Robust ASR, , , , , and , in: Proceedings of Interspeech, 2012 |
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| Boosting localized binary features for speech recognition, , and , in: Symposium on Machine Learning in Speech and Language Processing (MLSLP), 2012 |
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| Joint Detection and Localization of Multiple Speakers using a Probabilistic Interpretation of the Steered Response Power, , , and , in: Statistical and Perceptual Audition Workshop, 2012 |
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| A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , in: 20th European Signal Processing Conference, 2012 |
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| Integrating Posterior Features and Self-Organizing Maps for Isolated Word Recognition without Dynamic Programming, and , Idiap-RR-17-2012 |
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| Template-based ASR using Posterior features and synthetic references: comparing different TTS systems, , and , in: SAPA-SCALE Conference, International Speech Communication Association, 2012 |
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| Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation, and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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| Synthetic References for Template-based ASR using Posterior Features, , and , in: Proceedings of Interspeech, Portland, Oregon, USA, 2012 |
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| Phase AutoCorrelation (PAC) features for noise robust speech recognition, , , and , in: Speech Communication, 54(7):867–880, 2012 |
[DOI] |
| A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , Idiap-RR-10-2012 |
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| Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
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| Hierarchical Tandem Features for ASR in Mandarin, , and , in: Proceedings of Interspeech, 2011 |
| Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , Idiap-RR-38-2011 |
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| Analysis and Comparison of Recent MLP Features for LVCSR Systems, , and , in: Proceedings of Interspeech 2011, 2011 |
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| Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features, , , , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 19(8), 2011 |
[DOI] |
| Current trends in multilingual speech processing, , , , , , , , and , in: Sadhana, 36(5):885–915, 2011 |
[DOI] [URL] |
| Continuous Speech Recognition using Boosted Binary Features, , and , Idiap-RR-35-2011 |
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| Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Hawaii, USA, pages 348-353, 2011 |
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| Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , Idiap-RR-01-2012 |
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| A Fast Parts-based Approach to Speaker Verification using Boosted Slice Classifiers, , and , in: IEEE Transactions on Information Forensics and Security, 7(1):241-254, 2012 |
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| Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers, , and , in: IAPR IEEE International Joint Conference on Biometrics, Washington DC, 2011 |
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| 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] |
| 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] |
| Grapheme-based Automatic Speech Recognition using KL-HMM, , , and , in: Proceedings of Interspeech, 2011 |
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| Multitask Learning to Improve Articulatory Feature Estimation and Phoneme Recognition, and , Idiap-RR-21-2011 |
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| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , in: Proceedings of Interspeech, Florence, Italy, pages 537-540, 2011 |
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