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 title
I
| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , in: Proceedings of Interspeech 2009, 2009 |
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J
| Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, , and , in: Proceedings of ICASSP, 2004 |
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| Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition, , and , Idiap-RR-52-2003 |
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| Joint Detection and Localization of Multiple Speakers using a Probabilistic Interpretation of the Steered Response Power, , , and , in: Statistical and Perceptual Audition Workshop, 2012 |
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| 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] |
| Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , in: 3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms MLMI'06, 2006 |
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| Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , Idiap-RR-21-2006 |
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K
| KL-HMM and Probabilistic Lexical Modeling, and , Idiap-RR-04-2013 |
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L
| Language dependent universal phoneme posterior estimation for mixed language speech recognition, , , and , Idiap-RR-13-2011 |
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| Language dependent universal phoneme posterior estimation for mixed language speech recognition, , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Prag, CZ, pages 5012-5015, 2011 |
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| 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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| Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition, , , , , and , in: Proceedings of Interspeech 2021, ISCA-International Speech Communication Association 2021, 2021 |
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| Learning linearly separable features for speech recognition using convolutional neural networks, , and , Idiap-RR-24-2015 |
[URL] |
| 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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| 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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M
| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , in: International Conference on Pattern Recognition (ICPR~2002), 2002 |
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| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , Idiap-RR-45-2001 |
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| MLP Based Hierarchical System for Task Adaptation in ASR, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, 2009 |
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| MLP-based Log Spectral Energy Mapping for Robust Overlapping Speech Recognition, , , and , Idiap-RR-54-2007 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , in: 7th European Conference on Speech Communication and Technology (Eurospeech~2001), 2001 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , Idiap-RR-11-2001 |
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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 |
| Modelling Auxiliary Features in Tandem Systems, , , and , in: Proceedings of ICSLP, 2004 |
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| Modelling Auxiliary Features in Tandem Systems, , , and , Idiap-RR-21-2004 |
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| Modelling auxiliary information (pitch frequency) in hybrid HMM/ANN based ASR systems, , and , Idiap-RR-62-2002 |
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| Modelling glottal source information for depression detection, , and , Idiap-RR-13-2018 |
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| Multitask Learning to Improve Articulatory Feature Estimation and Phoneme Recognition, and , Idiap-RR-21-2011 |
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N
| Neural Network based Regression for Robust Overlapping Speech Recognition using Microphone Arrays, , , and , Idiap-RR-09-2008 |
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| Non-linear mapping for multi-channel speech separation and robust overlapping speech recognition, , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009 |
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O
| Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , Idiap-RR-06-2015 |
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| Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , in: Proceedings of Interspeech, Dresden, Germany, pages 3501-3505, 2015 |
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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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| 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] |
| On Breathing Pattern Information in Synthetic Speech, and , in: Proceedings of Interspeech, 2022 |
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| On Joint Modelling of Grapheme and Phoneme Information using KL-HMM for ASR, , and , Idiap-RR-24-2009 |
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| On Joint Optimization of Automatic Speaker Verification and Anti-spoofing in the Embedding Space, , , , and , in: IEEE Transactions on Information Forensics and Security, 16:1579--1593, 2021 |
[DOI] |
| On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal, and , in: The Phonetician, 109–110:6-23, 2014 |
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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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| On MLP-based Posterior Features for Template-based ASR, , , and , Idiap-RR-37-2009 |
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