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
Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion) (2020)
| A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language, , , and , in: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020 |
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Proceedings of the International Conference on Language Resources and Evaluation LREC 2020 (2020)
| An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition, , and , in: Proceedings of the International Conference on Language Resources and Evaluation LREC 2020, 2020 |
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)
| Detection of S1 and S2 locations in phonocardiogram signals using zero frequency filter, , , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 |
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)
| Dysarthric Speech Recognition with Lattice-Free MMI, and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6109-6113, 2020 |
[DOI] [URL] |
| 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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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)
| Towards Multilingual Sign Language Recognition, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 |
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Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2019)
| 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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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2019)
| 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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Proceedings of Interspeech (2019)
| Understanding and Visualizing Raw Waveform-based CNNs, , , and , in: Proceedings of Interspeech, 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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Proceedings of Interspeech 2018 (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] |
| Implementing Fusion Techniques for the Classification of Paralinguistic Information, , , and , in: Proceedings of Interspeech 2018, pages 526-530, 2018 |
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Proceedings of Interspeech (2018)
| 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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Language Resources and Evaluation Conference (2018)
| SMILE Swiss German Sign Language Dataset, , , , , , , , , , , and , in: Language Resources and Evaluation Conference, 2018 |
IEEE International Conference on Acoustics, Speech and Signal Processing (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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International Joint Conference on Biometrics (2017)
| 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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Proceedings of Interspeech (2016)
| 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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International Conference of the Biometrics Special Interest Group (BIOSIG) (2016)
| 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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International Conference on Acoustics, Speech and Signal Processing (2015)
| 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] |
Proceedings of Interspeech (2015)
| 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 , in: Proceedings of Interspeech, 2015 |
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International Conference on Acoustics, Speech and Signal Procecssing (2015)
| 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 |
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International Conference on Acoustics, Speech and Signal Processing (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] |
Proceedings of Interspeech (2015)
| Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification, , , and , in: Proceedings of Interspeech, Dresden, Germany, pages 3501-3505, 2015 |
[URL] |
40th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (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] |
4th Biennial Workshop on Less-Resourced Languages (2015)
| 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 |
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Global Conference on Signal and Information Processing (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] |
International Conference on Acoustics, Speech, and Signal Processing (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] |
Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014) (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 |
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2013)
| A Probabilistic Framework for Multiple Speaker Localization, , , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 |
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Proceedings of Interspeech (2013)
| Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , in: Proceedings of Interspeech, 2013 |
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Proceedings of IEEE TENCON (2013)
| Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition, , and , in: Proceedings of IEEE TENCON, 2013 |
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IEEE International Conference on Acoustics, Speech and Signal Processing (2013)
| 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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Proceedings of Interspeech (2013)
| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , in: Proceedings of Interspeech, 2013 |
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Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding (2013)
| Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013 |
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20th European Signal Processing Conference (2012)
| A TDOA Gaussian Mixture Model for Improving Acoustic Source Tracking, , , and , in: 20th European Signal Processing Conference, 2012 |
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Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (2012)
| Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
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Symposium on Machine Learning in Speech and Language Processing (MLSLP) (2012)
| Boosting localized binary features for speech recognition, , and , in: Symposium on Machine Learning in Speech and Language Processing (MLSLP), 2012 |
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Proceedings of Interspeech (2012)
| Combination of Sparse Classification and Multilayer Perceptron for Noise Robust ASR, , , , , and , in: Proceedings of Interspeech, 2012 |
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| Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation, and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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Statistical and Perceptual Audition Workshop (2012)
| 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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Proceedings of Interspeech (2012)
| Synthetic References for Template-based ASR using Posterior Features, , and , in: Proceedings of Interspeech, Portland, Oregon, USA, 2012 |
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SAPA-SCALE Conference, International Speech Communication Association (2012)
| Template-based ASR using Posterior features and synthetic references: comparing different TTS systems, , and , in: SAPA-SCALE Conference, International Speech Communication Association, 2012 |
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Proceedings of Interspeech (2012)
| Using Sparse Classification Outputs as Feature Observations for Noise Robust ASR, , , , , and , in: Proceedings of Interspeech, 2012 |
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Proceedings of Interspeech 2011 (2011)
| Analysis and Comparison of Recent MLP Features for LVCSR Systems, , and , in: Proceedings of Interspeech 2011, 2011 |
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Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding (2011)
| 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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