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
| Parkinson's Disease Detection through Formant and F0 Analysis at Syllable Level, and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 |
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| Posterior-based analysis of spatio-temporal features for Sign Language Assessment, , , , and , Idiap-RR-11-2024 |
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| Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment, and , Idiap-RR-09-2024 |
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| SSL-TTS: Leveraging Self-Supervised Embeddings and kNN Retrieval for Zero-Shot Multi-speaker TTS, , , and , Idiap-Internal-RR-38-2024 |
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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 |
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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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| On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis, and , in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024 |
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| Towards interfacing large language models with ASR systems using confidence measures and prompting, , , , and , in: Proceedings of Interspeech, pages 2980-2984, 2024 |
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| Feature Representations for Automatic Meerkat Vocalization Classification, , , and , Idiap-RR-06-2024 |
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| 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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| Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction, , , , and , in: Interspeech, Kos Island, Greece, ISCA, 2024 |
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| COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, , and , in: International Conference on Acoustics, Speech and Signal Processing, 2024 |
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| SYLLABLE LEVEL FEATURES FOR PARKINSON'S DISEASE DETECTION FROM SPEECH, and , in: ICASSP, 2024 |
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| CONTENT-BASED OBJECTIVE EVALUATION OF ARTIFICIALLY GENERATED SIGN LANGUAGE VIDEOS, , , , , and , in: ICASSP, 2024 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Implicit phonetic information modeling for speech emotion recognition, , and , in: Interspeech, Dublin, Ireland, ISCA, 2023 |
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| Using Commercial ASR Solutions to Assess Reading Skills in Children: A Case Report, , , , , and , in: Proceedings of Interspeech, pages 4573-4577, 2023 |
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| Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation, and , in: Proceedings of Interspeech, pages 156-160, 2023 |
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| Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?, and , in: Proceedings of Interspeech, 2023 |
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| Towards learning emotion information from short segments of speech, , , , and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, IEEE, 2023 |
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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 |
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| Towards Accessible Sign Language Learning and Assessment, , , and , in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022 |
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| Comparing Biosignal and Acoustic feature Representation for Continuous Emotion Recognition, , , , and , in: International Multimodal Sentiment Analysis Workshop and Challenge, 2022 |
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| On Breathing Pattern Information in Synthetic Speech, and , in: Proceedings of Interspeech, 2022 |
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| Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering, , and , in: Proceedings of Interspeech, 2022 |
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| Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, , , and , in: Proceedings of the ICML Expressive Vocalizations Workshop held in conjunction with the 39th International Conference on Machine Learning, Maryland, USA, 2022 |
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| Modeling Of Pre-trained Neural Network Embeddings Learned From Raw Waveform For Covid-19 Infection Detection, , , and , in: Proceedings of ICASSP, 2022 |
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| Modeling Source and System characteristics using Zero Frequency Filtering for Voice Activity Detection, , and , Idiap-Internal-RR-80-2021 |
| Adjustable Deterministic Pseudonymization of Speech, , and , in: Computer, Speech & Language, 72, 2022 |
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| Fusion of Acoustic and Linguistic Information Using Supervised Autoencoder for Improved Emotion Recognition, , and , in: 2nd Multimodal Sentiment Analysis Challenge (MuSe '21), October 24, 2021, Virtual Event, China, 2021 |
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| Approximating the Mental Lexicon from Clinical Interviews as a Support Tool for Depression Detection, , , , and , in: Proceedings of the 2021 International Conference on Multimodal Interaction, ACM, 2021 |
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| Adjustable Deterministic Pseudonymization of Speech, , and , Idiap-RR-12-2021 |
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| Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings, , , and , Idiap-RR-11-2021 |
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