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 first author
A
| Understanding Raw Waveform based CNN through Low-rank Spectro-Temporal Decoupling, , and , Idiap-RR-11-2019 |
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| Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition, , and , in: Proceedings of IEEE TENCON, 2013 |
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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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| Using KL-based Acoustic Models in a Large Vocabulary Recognition Task, , and , Idiap-RR-14-2008 |
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| Posterior Features Applied to Speech Recognition Tasks with Limited Training Data, , and , Idiap-RR-15-2008 |
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B
| Feature Representations for Automatic Meerkat Vocalization Classification, , , and , Idiap-RR-06-2024 |
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| Feature Representations for Automatic Meerkat Vocalization Classification, , , and , in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024 |
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| Towards using hierarchical posteriors for flexible automatic speech recognition systems, , , , , and , Idiap-RR-58-2004 |
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| Current trends in multilingual speech processing, , , , , , , , and , in: Sadhana, 36(5):885–915, 2011 |
[DOI] [URL] |
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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C
| A Generalized Dynamic Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition, , and , Idiap-RR-62-2006 |
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| A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition, , , , , , , , , , and , in: Proceedings of Interspeech, pages 2182-2186, 2020 |
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D
| A study of phoneme and grapheme based context-dependent ASR systems, and , Idiap-RR-12-2007 |
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| Improving Children Speech Recognition through Feature Learning from Raw Speech Signal, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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| Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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| Using Speech Production Knowledge for Raw Waveform Modelling based Styrian Dialect Identification, and , in: Proceedings of Interspeech, 2019 |
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| Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings, , , and , in: ACM International Conference on Multimodal Interaction (ICMI Companion), 2022 |
[DOI] |
| Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings, , , and , Idiap-RR-11-2021 |
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| Adjustable Deterministic Pseudonymization of Speech, , and , in: Computer, Speech & Language, 72, 2022 |
[DOI] |
| Adjustable Deterministic Pseudonymization of Speech, , and , Idiap-RR-12-2021 |
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| Learning voice source related information for depression detection, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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E
| SMILE Swiss German Sign Language Dataset, , , , , , , , , , , and , in: Language Resources and Evaluation Conference, 2018 |
| SSL-TTS: Leveraging Self-Supervised Embeddings and kNN Retrieval for Zero-Shot Multi-speaker TTS, , , and , Idiap-Internal-RR-38-2024 |
[URL] |
| Predicting Heart Activity from Speech using Data-driven and Knowledge-based features, , and , in: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2024 |
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F
| Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs, , and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020 |
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| Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs, , and , Idiap-RR-06-2020 |
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| Utterance Verification-based Dysarthric Speech Intelligibility Assessment using Phonetic Posterior Features, and , in: IEEE Signal Processing Letters, 28:224 - 228, 2021 |
[DOI] |
| Probabilistic Symbol Sequence Matching and its Application to Pathological Speech Intelligibility Assessment, , and , Idiap-RR-01-2021 |
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G
| On Joint Optimization of Automatic Speaker Verification and Anti-spoofing in the Embedding Space, , , , and , in: IEEE Transactions on Information Forensics and Security, 16:1579--1593, 2021 |
[DOI] |
H
| An Objective Evaluation Framework for Pathological Speech Synthesis, , , , , and , in: Proceedings of ITG Conference on Speech Communication, 2021 |
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| Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation, and , in: Proceedings of Interspeech, pages 156-160, 2023 |
[DOI] [URL] |
| Handling acoustic variation in dysarthric speech recognition systems through model combination, and , in: Proceedings of Interspeech, 2021 |
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| Dysarthric Speech Recognition with Lattice-Free MMI, and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6109-6113, 2020 |
[DOI] [URL] |
| SYLLABLE LEVEL FEATURES FOR PARKINSON'S DISEASE DETECTION FROM SPEECH, and , in: ICASSP, 2024 |
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| Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson’s disease speech detection, and , in: Proceedings of Interspeech, Kos Island, Greece, pages 3590-3594, 2024 |
[DOI] [URL] |