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
- Binary features
- binary masking
- BoAW
- boosting
- breathing pattern estimation
- breathing patterns
- 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 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
- 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 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
| 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 |
|
| End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection, , and , in: International Joint Conference on Biometrics, Denver, Colorado, USA, 2017 |
|
| A Posterior-Based Multi-Stream Formulation for G2P Conversion, and , in: IEEE Signal Processing Letters, 2017 |
|
| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
|
| Long Term Spectral Statistics for Voice Presentation Attack Detection, , , and , Idiap-RR-11-2017 |
|
| Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification, , and , in: International Conference of the Biometrics Special Interest Group (BIOSIG), 2016 |
|
| End-to-End Acoustic Modeling using Convolutional Neural Networks for Automatic Speech Recognition, , and , Idiap-RR-18-2016 |
|
| HMM-based Non-native Accent Assessment using Posterior Features, , and , in: Proceedings of Interspeech, San Francisco, USA, 2016 |
|
| Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery, and , in: Proceedings of Interspeech, 2016 |
|
| Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework, , and , in: Speech Communication, 80, 2016 |
[DOI] |
| On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal, and , in: The Phonetician, 109–110:6-23, 2014 |
|
| Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic, , and , in: 4th Biennial Workshop on Less-Resourced Languages, 2015 |
|
| Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework, , and , Idiap-RR-34-2015 |
|
| Posterior-Based Multi-Stream Formulation To Combine Multiple Grapheme-to-Phoneme Conversion Techniques, and , Idiap-RR-33-2015 |
|
| HMM-based Non-native Accent Assessment using Posterior Features, , and , Idiap-RR-32-2015 |
|
| Articulatory feature based continuous speech recognition using probabilistic lexical modeling, and , in: Computer Speech and Language, 36:233-259, 2016 |
[DOI] |
| Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , in: Proceedings of Interspeech, ISCA, Dresden, pages 11-15, ISCA, 2015 |
|
| Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , in: Proceedings of Interspeech, Dresden, Germany, pages 3501-3505, 2015 |
[URL] |
| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , in: Proceedings of Interspeech, 2015 |
|
| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , Idiap-RR-12-2015 |
|
| Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
|
| Learning linearly separable features for speech recognition using convolutional neural networks, , and , Idiap-RR-24-2015 |
[URL] |
| Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , Idiap-RR-06-2015 |
|
| Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , Idiap-RR-23-2015 |
|
| On the Application of Automatic Subword Unit Derivation and Pronunciation Generation for Under-Resourced Language ASR: A Study on Scottish Gaelic, , and , Idiap-RR-13-2015 |
|
| Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling, , and , in: International Conference on Acoustics, Speech and Signal Processing, South Brisbane, QLD, pages 5176-5180, 2015 |
[DOI] |
| 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] |
| Convolutional Neural Networks-based Continuous Speech Recognition using Raw Speech Signal, , and , in: International Conference on Acoustics, Speech and Signal Procecssing, IEEE, South Brisbane, QLD, pages 4295 - 4299, IEEE, 2015 |
|
| Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences, , and , in: 40th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4924-4928, 2015 |
[DOI] |
| 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] |
| Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling, and , Idiap-RR-19-2014 |
|
| Joint Phoneme Segmentation Inference and Classification using CRFs, , and , in: Global Conference on Signal and Information Processing, Atlanta, GA, pages 587 - 591, IEEE, 2014 |
[DOI] |
| Convolutional Neural Networks-based Continuous Speech Recognition using Raw Speech Signal, , and , Idiap-RR-18-2014 |
|
| Feature Mapping of Multiple Beamformed Sources for Robust Overlapping Speech Recognition Using a Microphone Array, , , , , , and , Idiap-RR-17-2014 |
|
| Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences, , and , Idiap-RR-16-2014 |
|
| On Recognition of Non-Native Speech Using Probabilistic Lexical Model, and , in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), 2014 |
|
| Raw Speech Signal-based Continuous Speech Recognition using Convolutional Neural Networks, , and , Idiap-RR-15-2014 |
|
| 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] |