Keywords:
- Acoustic features
- acoustic modeling
- Adaboost
- Alzheimer's disease
- Anti-spoofing
- articulatory features
- Artificial Neural Networks
- ASR
- 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
- domain adaptation
- 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
- Finetuning
- fixed-size word patterns
- Formant identification
- Formants
- Foundation Model
- Foundation Models
- 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
- PC-GITA
- 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 in 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
- wav2vec2.0
- zero frequency filter
- Zero frequency filtering
- zero-frequency filtering
- zero-resourced speech recognition
Publications of Mathew Magimai-Doss
2019
| End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition, , and , in: Speech Communication, 108:15--32, 2019 |
[DOI] |
| Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs, , and , Idiap-RR-06-2020 |
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| 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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| 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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| 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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| 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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| Subunits Inference and Lexicon Development Based on Pairwise Comparison of Utterances and Signs, and , in: Information, 10:298, 2019 |
[DOI] [URL] |
| TOWARDS MULTILINGUAL SIGN LANGUAGE RECOGNITION, , and , Idiap-RR-16-2019 |
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| Understanding and Visualizing Raw Waveform-based CNNs, , , and , in: Proceedings of Interspeech, 2019 |
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| Understanding Raw Waveform based CNN through Low-rank Spectro-Temporal Decoupling, , and , Idiap-RR-11-2019 |
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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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2018
| Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech, , , , , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 292-296, 2018 |
[DOI] |
| Gradient-based spectral visualization of CNNs using raw waveforms, , , and , Idiap-RR-11-2018 |
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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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| Modelling glottal source information for depression detection, , and , Idiap-RR-13-2018 |
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| On Learning to Identify Genders from Raw Speech Signal Using CNNs, , and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 287-291, 2018 |
[DOI] |
| On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs, , and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 1116-1120, 2018 |
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| SMILE Swiss German Sign Language Dataset, , , , , , , , , , , and , in: Language Resources and Evaluation Conference, 2018 |
| Towards directly modeling raw speech signal for speaker verification using CNNs, , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, CANADA, pages 4884-4888, 2018 |
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| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , in: Speech Communication, 96:168-183, 2018 |
[DOI] |
2017
| A Posterior-Based Multi-Stream Formulation for G2P Conversion, and , in: IEEE Signal Processing Letters, 2017 |
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| End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection, , and , in: International Joint Conference on Biometrics, Denver, Colorado, USA, 2017 |
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| Long Term Spectral Statistics for Voice Presentation Attack Detection, , , and , Idiap-RR-11-2017 |
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| Long-Term Spectral Statistics for Voice Presentation Attack Detection, , , and , in: IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(11):2098-2111, 2017 |
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| Towards directly modeling raw speech signal for speaker verification using CNNs, , and , Idiap-RR-30-2017 |
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| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
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2016
| Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework, , and , in: Speech Communication, 80, 2016 |
[DOI] |
| Articulatory feature based continuous speech recognition using probabilistic lexical modeling, and , in: Computer Speech and Language, 36:233-259, 2016 |
[DOI] |
| End-to-End Acoustic Modeling using Convolutional Neural Networks for Automatic Speech Recognition, , and , Idiap-RR-18-2016 |
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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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| Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery, and , in: Proceedings of Interspeech, 2016 |
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| Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification, , and , in: International Conference of the Biometrics Special Interest Group (BIOSIG), 2016 |
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2015
| Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , in: Speech Communication, 68:23–40, 2015 |
[DOI] [URL] |
| Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
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| An HMM-Based Formalism for Automatic Subword Unit Derivation and Pronunciation Generation, and , in: International Conference on Acoustics, Speech and Signal Processing, pages 4639-4643, IEEE, 2015 |
[DOI] |
| Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , Idiap-RR-23-2015 |
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| Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , in: Proceedings of Interspeech, ISCA, Dresden, pages 11-15, ISCA, 2015 |
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| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , Idiap-RR-12-2015 |
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| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , in: Proceedings of Interspeech, 2015 |
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