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
- 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
- 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 journal and type
Publications of type Idiap-RR
2023
Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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2021
Adjustable Deterministic Pseudonymization of Speech, , and , Idiap-RR-12-2021 |
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Approximating the Mental Lexicon from Clinical Interviews as a Support Tool for Depression Detection, , , , and , Idiap-RR-19-2021 |
Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition, , , , , and , Idiap-RR-09-2021 |
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Probabilistic Symbol Sequence Matching and its Application to Pathological Speech Intelligibility Assessment, , and , Idiap-RR-01-2021 |
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Towards Automatic Prediction of Non-Expert Perceived Speech Fluency Ratings, , , and , Idiap-RR-11-2021 |
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2019
Data-Driven Movement Subunit Extraction from Skeleton Information for Modeling Signs and Gestures, , and , Idiap-RR-02-2019 |
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Domain Adaptation and Investigation of Robustness of DNN-based Embeddings for Text-Independent Speaker Verification Using Dilated Residual Networks, , and , Idiap-RR-10-2019 |
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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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TOWARDS MULTILINGUAL SIGN LANGUAGE RECOGNITION, , and , Idiap-RR-16-2019 |
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Understanding Raw Waveform based CNN through Low-rank Spectro-Temporal Decoupling, , and , Idiap-RR-11-2019 |
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2018
Gradient-based spectral visualization of CNNs using raw waveforms, , , and , Idiap-RR-11-2018 |
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Modelling glottal source information for depression detection, , and , Idiap-RR-13-2018 |
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2017
Long Term Spectral Statistics for Voice Presentation Attack Detection, , , and , Idiap-RR-11-2017 |
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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
End-to-End Acoustic Modeling using Convolutional Neural Networks for Automatic Speech Recognition, , and , Idiap-RR-18-2016 |
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2015
Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
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Analysis of CNN-based Speech Recognition System using Raw Speech as Input, , and , Idiap-RR-23-2015 |
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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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HMM-based Non-native Accent Assessment using Posterior Features, , and , Idiap-RR-32-2015 |
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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 |
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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 |
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Posterior-Based Multi-Stream Formulation To Combine Multiple Grapheme-to-Phoneme Conversion Techniques, and , Idiap-RR-33-2015 |
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Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework, , and , Idiap-RR-34-2015 |
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2014
Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , Idiap-RR-02-2014 |
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Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling, and , Idiap-RR-19-2014 |
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Convolutional Neural Networks-based Continuous Speech Recognition using Raw Speech Signal, , and , Idiap-RR-18-2014 |
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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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Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences, , and , Idiap-RR-16-2014 |
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Raw Speech Signal-based Continuous Speech Recognition using Convolutional Neural Networks, , and , Idiap-RR-15-2014 |
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2013
End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks, , and , Idiap-RR-40-2013 |
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Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , Idiap-RR-13-2013 |
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Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , Idiap-RR-14-2013 |
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KL-HMM and Probabilistic Lexical Modeling, and , Idiap-RR-04-2013 |
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On Modeling Context-dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , Idiap-RR-43-2013 |
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Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition, and , Idiap-RR-15-2013 |
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2012
A Probabilistic Framework for Multiple Speaker Localization, , , and , Idiap-RR-37-2012 |
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A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , Idiap-RR-10-2012 |
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Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , Idiap-RR-01-2012 |
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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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Integrating Posterior Features and Self-Organizing Maps for Isolated Word Recognition without Dynamic Programming, and , Idiap-RR-17-2012 |
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2011
Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , Idiap-RR-38-2011 |
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