Keywords:
- accent em- bedding
- 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 sorted by first author
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A
| 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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| Information Theoretic Analysis of Production-Perception Efficiency: Case Study of Speech Pathology, , and , Idiap-RR-30-2016 |
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| On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding, , and , in: Proceeding of Interspeech, pages 418-422, ISCA, 2015 |
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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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| 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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| Efficient Posterior Exemplar Search Space Hashing Exploiting Class-Specific Sparsity Structures, , , and , in: Interspeech, San Francisco, CA, 2016 |
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C
| Cognitive speech coding, and , Idiap-RR-27-2016 |
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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] |
| 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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| 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] |
| Speech vocoding for laboratory phonology, , and , Idiap-RR-07-2015 |
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| Speech vocoding for laboratory phonology, , and , in: Computer Speech and Language, 2016 |
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| PhonVoc: A Phonetic and Phonological Vocoding Toolkit, and , in: Interspeech, San Francisco, USA, 2016 |
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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] |
| Progress report of a project in very low bit-rate speech coding, , and , Idiap-RR-08-2012 |
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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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| Robust triphone mapping for acoustic modeling, , and , Idiap-RR-02-2013 |
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| Robust triphone mapping for acoustic modeling, , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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| Bob Speaks Kaldi, , , , and , in: Proc. of Interspeech, 2017 |
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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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| Stress and Accent Transmission In HMM-Based Syllable-Context Very Low Bit Rate Speech Coding, , , and , in: Interspeech, 2014 |
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| Stress and Accent Transmission In HMM-Based Syllable-Context Very Low Bit Rate Speech Coding, , , and , Idiap-RR-10-2014 |
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| ON THE (UN)IMPORTANCE OF THE CONTEXTUAL FACTORS IN HMM-BASED SPEECH SYNTHESIS AND CODING, , and , Idiap-RR-06-2013 |
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| On the (Un)importance of the Contextual Factors In HMM-Based Speech Synthesis, , and , in: Proceedings of the IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pages 8140 - 8143, 2013 |
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| Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture, , and , in: Proc. of Interspeech 2013, Lyon, France, 2013 |
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| Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture, , and , Idiap-RR-24-2013 |
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| 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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| On the impact of non-modal phonation on phonological features, , , , , , , , , , , , , and , Idiap-RR-28-2016 |
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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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| Phonological vocoding using artificial neural networks, , and , Idiap-RR-04-2015 |
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| Phonological Vocoding Using Artificial Neural Networks, , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4844-4848, IEEE, 2015 |
[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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| NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION, and , Idiap-RR-28-2017 |
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G
| Modeling Unvoiced Sounds In Statistical Parametric Speech Synthesis with a Continuous Vocoder, , , and , in: Proc. of EUSIPCO, Budapest, Hungary, 2016 |
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| A Simple Continuous Pitch Estimation Algorithm, , and , in: IEEE Signal Processing Letters, 20(1):102--105, 2013 |
[URL] |
| A simple continuous excitation model for parametric vocoding, , and , Idiap-RR-03-2015 |
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| 1 | 2 |