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 title
E
| 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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| Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios, , , and , Idiap-RR-01-2010 |
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| Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios, , , and , in: ICASSP 2010, 2010 |
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| Exploiting Contextual Information for Improved Phoneme Recognition, , , and , in: "IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP)", 2008 |
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| Exploiting Contextual Information for Improved Phoneme Recognition, , , and , Idiap-RR-65-2007 |
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| Exploring generalization to unseen audio data for spoofing: insights from SSL models, , , , , and , in: ISCA Proceedings, Greece, 2024 |
[DOI] [URL] |
| Exploring the Complexity of Parkinson’s Patient Speech for Depression Detection task: A Qualitative Analysis, , , , and , in: Proceedings of Workshop on Speech Pathology Analysis and DEtection (SPADE), 2025 |
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F
| Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , Idiap-RR-01-2012 |
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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 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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| Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array, , , , , , and , Idiap-RR-17-2014 |
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| 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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| Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation, and , in: Proceedings of Interspeech, pages 156-160, 2023 |
[DOI] [URL] |
| 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 |
[DOI] |
G
| Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition, , and , in: Proceedings of IEEE TENCON, 2013 |
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| Gradient-based spectral visualization of CNNs using raw waveforms, , , and , Idiap-RR-11-2018 |
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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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| 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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| Grapheme-based Automatic Speech Recognition using KL-HMM, , , and , in: Proceedings of Interspeech, 2011 |
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H
| Handling acoustic variation in dysarthric speech recognition systems through model combination, and , in: Proceedings of Interspeech, 2021 |
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| Hierarchical Multilayer Perceptron based Language Identification, , and , Idiap-RR-14-2010 |
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| Hierarchical Multilayer Perceptron based Language Identification, , and , in: Proceedings of Interspeech, Makuhari, Japan, pages 2722-2725, 2010 |
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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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| Hierarchical Tandem Features for ASR in Mandarin, , and , Idiap-RR-39-2010 |
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| Hierarchical Tandem Features for ASR in Mandarin, , and , in: Proceedings of Interspeech, 2011 |
| HMM-based Approaches to Model Multichannel Information in Sign Language inspired from Articulatory Features-based Speech Processing, , , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
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| HMM-based Non-native Accent Assessment using Posterior Features, , and , Idiap-RR-32-2015 |
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| HMM-based Non-native Accent Assessment using Posterior Features, , and , in: Proceedings of Interspeech, San Francisco, USA, 2016 |
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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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I
| Identification of F1 and F2 in speech using modified zero frequency filtering, and , in: Proceedings of Interspeech, 2021 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Implementing Fusion Techniques for the Classification of Paralinguistic Information, , , and , in: Proceedings of Interspeech 2018, pages 526-530, 2018 |
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| Implicit phonetic information modeling for speech emotion recognition, , and , in: Interspeech, Dublin, Ireland, ISCA, 2023 |
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| 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] |
| 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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| Improving Continuous Speech Recognition System Performance with Grapheme Modelling, , , and , Idiap-RR-16-2005 |
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| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , Idiap-RR-14-2013 |
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| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , in: Proceedings of Interspeech, 2013 |
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| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , Idiap-RR-19-2011 |
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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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| Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery, and , in: Proceedings of Interspeech, 2016 |
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