Keywords:
- accent embedding
- Accented speech
- acoustic modeling
- Anti-spoofing
- Articulation
- ASR-free
- audio&text embeddings
- Automatic accent assessment
- Automatic accent evaluation
- Automatic prosodic event detection
- automatic reading tutor
- Binary pattern matching
- Bob toolbox
- child speech recognition
- cognition
- Compressive sampling
- computer aided learning
- connectionist temporal classification
- continuous F0 coding
- Convolutional Neural Networks
- Deep neural network (DNN)
- deep neural networks
- dynamic programming
- Dysarthria
- end-to-end
- Fast $k$NN
- intelligibility
- Kaldi toolkit
- keyword spotting
- KL-divergence
- KL-HMM
- Kullback-Leibler divergence
- laboratory phonology
- lan- guage identification
- lexical model
- Linguistic parsing
- low bit rate speech coding
- Low bit rate speech vocoding
- multi-task
- Multilingual automatic speech recognition
- nasal sounds
- nearest neighbour rule of classification.
- neural computing
- non-modal phonation
- non-native speech
- open science
- open vocabulary
- parametric speech synthesis
- Parametric vocoding
- Parkinson's disease
- Phonation
- Phone attributes
- Phoneme classification
- phonetic representation
- Phonological features
- phonological posteriors
- Phonological speech representation
- phonological vocoding
- phonology
- pitch analysis
- Posterior features
- Posterior representatives
- probabilistic amplitude demodulation
- prosody
- python
- Quantized posterior hashing
- Reproducible research
- software
- speaker verification
- spectral amplitude modulation phase hierarchy
- Speech Analysis
- speech coding
- speech emphasis
- speech perception
- speech processing
- speech production
- speech prosody
- speech recognition
- speech synthesis
- spiking neural networks
- Structured sparse representation
- Structured sparsity
- triphone mapping
- Very low bit rate speech coding
- word emphasis
Publications of Milos Cernak
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2022
| End-to-end Accented Speech Recognition, , and , Idiap-RR-04-2022 |
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2019
| End-to-End Accented Speech Recognition, , and , in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019 |
[DOI] |
| Open-Vocabulary Keyword Spotting With Audio And Text Embeddings, , , and , in: Proceedings of Interspeech 2019, 2019 |
[DOI] |
| Voice Presentation Attack Detection Using Convolutional Neural Networks, , , , , and , in: Handbook of Biometric Anti-Spoofing, pages 391--415, Springer, 2019 |
[URL] |
2018
| Cognitive Speech Coding: Examining the Impact of Cognitive Speech Processing on Speech Compression, , and , in: IEEE Signal Processing Magazine, 35(3):97-109, 2018 |
[DOI] |
| NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL, and , in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2018 |
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2017
| Bob Speaks Kaldi, , , , and , in: Proc. of Interspeech, 2017 |
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| Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, , , , , and , Idiap-RR-16-2017 |
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| Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, , , , , and , in: Computer Speech and Language, 2017 |
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| Multi-view Representation Learning Via GCCA for Multimodal Analysis of Parkinson's Disease, , , , , , , , , , , , , , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017 |
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| NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION, and , Idiap-RR-28-2017 |
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| NeuroSpeech: An open-source software for Parkinson's speech analysis, , , , , , , , , , , , , , and , in: Digital Signal Processing, 2017 |
[DOI] |
| On the Impact of Non-modal Phonation On Phonological Features, , , , , , , , , , , , , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017 |
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| Perceptual Information Loss due to Impaired Speech Production, , and , Idiap-RR-20-2017 |
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| Perceptual Information Loss due to Impaired Speech Production, , and , in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017 |
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| Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment, , , and , in: Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017 |
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2016
| An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings, , , and , Idiap-RR-02-2016 |
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| Cognitive speech coding, and , Idiap-RR-27-2016 |
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| Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , Idiap-RR-11-2016 |
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| Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, , , and , in: IEEE/ACM Trans. on Audio, Speech and Language Processing, 2016 |
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| Efficient Posterior Exemplar Search Space Hashing Exploiting Class-Specific Sparsity Structures, , , and , in: Interspeech, San Francisco, CA, 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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| Information Theoretic Analysis of Production-Perception Efficiency: Case Study of Speech Pathology, , and , Idiap-RR-30-2016 |
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| Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis, , , and , Idiap-RR-22-2016 |
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| Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis, , , and , in: 9th ISCA Speech Synthesis Workshop, 2016 |
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| Modeling Unvoiced Sounds In Statistical Parametric Speech Synthesis with a Continuous Vocoder, , , and , in: Proc. of EUSIPCO, Budapest, Hungary, 2016 |
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| On Structured Sparsity of Phonological Posteriors for Linguistic Parsing, , and , Idiap-RR-07-2016 |
[URL] |
| On Structured Sparsity of Phonological Posteriors for Linguistic Parsing, , and , in: Speech Communication, 84:36-45, 2016 |
[DOI] [URL] |
| On the impact of non-modal phonation on phonological features, , , , , , , , , , , , , and , Idiap-RR-28-2016 |
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| PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech, , and , in: Proceeding on the 7th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), 2016 |
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| Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures, , , and , Idiap-RR-10-2016 |
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| PhonVoc: A Phonetic and Phonological Vocoding Toolkit, and , in: Interspeech, San Francisco, USA, 2016 |
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| Probabilistic Amplitude Demodulation features in Speech Synthesis for Improving Prosody, , and , Idiap-RR-12-2016 |
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| Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody, , and , in: Proceedings of Interspeech, San Francisco, USA, 2016 |
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| Sound Pattern Matching for Automatic Prosodic Event Detection, , , , and , Idiap-RR-03-2016 |
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| Sound Pattern Matching for Automatic Prosodic Event Detection, , , , and , in: Interspeech, San Francisco, USA, 2016 |
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| Speech vocoding for laboratory phonology, , and , in: Computer Speech and Language, 2016 |
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2015
| A simple continuous excitation model for parametric vocoding, , and , Idiap-RR-03-2015 |
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| An Empirical Model of Emphatic Word Detection, and , Idiap-RR-11-2015 |
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| An Empirical Model of Emphatic Word Detection, and , in: Proc. of Interspeech, Dresden, Germany, pages 573-577, 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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| HMM-based Non-native Accent Assessment using Posterior Features, , and , Idiap-RR-32-2015 |
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| Incremental Syllable-Context Phonetic Vocoding, , , , and , Idiap-RR-05-2015 |
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| Incremental Syllable-Context Phonetic Vocoding, , , , and , in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 23(6), 2015 |
[URL] |
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