Keywords:
- accent em- bedding
- Accented speech
- Accentual mismatch
- acoustic generators
- Acoustic model adaptation
- acoustic modeling
- adaptation
- ADS-B data
- air surveillance data
- Air traffic control
- air traffic control communications
- air traffic controller
- air traffic controller’s workload
- air traffic management
- Alzheimer's disease
- AM
- Anti-spoofing
- Arithmetic Coding
- Artificial intelligence
- Artificial Neural Networks
- ASR
- Assistant Based Speech Recognition
- association rules
- audio and voice analysis
- Audio Coding
- audiobook
- Automatic Speech Recognition
- automatic speech recognition and understanding
- automatic speech understanding
- batch norm
- batch normalization
- bayesian fusion
- BERT
- bias aware
- BNF
- Building Blocks
- call sign detection
- Call-sign Detection
- Call-sign Recognition
- chunking
- claim verification
- Command Prediction Model
- command recognition rate
- Confidence Measure (CM)
- Contextual Adaptation
- contextual biasing
- Convolutional Neural Networks
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- Customization of model
- data analysis
- deep learning
- Deep learning for speech
- deep MLPs
- Deep neural network
- deep neural networks
- Delays
- depression detection
- dialogue
- diarization
- direction of arrival
- direction-of-arrival estimation
- Discourse Annotation
- Discriminative features
- dnn
- DOA estimation
- domain adaptation
- dropout
- electronic flight strips
- Encoding
- end-to-end
- end-to-end ASR
- entity linking
- Entropy Coding
- Environmental mismatch
- Estimation
- F1 score
- face verification
- fact checking
- Feature extraction
- fine-tuning
- finite-state transducers
- FM
- fmllr
- Forensics
- Frequency Domain Linear Prediction (FDLP)
- gaming
- GDPR
- GMM
- GPU decoding
- Graph Convolutional Networks
- Graph Neural Networks
- high-definition video-conferencing
- HTK
- Huffman Coding
- human factors
- Human-Computer Interaction
- human-robot interaction
- hybrid system
- i-vector
- i-vectors
- Integration of prior knowledge
- Intent Classification
- inter-task fusion
- Interpretability
- Interpretable Models
- Iterative learning
- KeyWord Spotting (KWS)
- Keyword spotting detection
- KL-HMM
- knowledge distillation
- lan- guage identification
- language identification
- Language IDentification (LID)
- language modeling
- Language Models
- Language Production
- Language targets
- Large Vocabulary Continuous Speech Recognition (LVCSR)
- Lattice-Free MMI
- LEA
- legal framework
- LID
- likelihood-based encoding
- limited training data
- Linear prediction
- logistic regression
- Low resource language
- low-resource
- LVCSR
- machine learning
- Machine Translation
- Mental Lexicon
- MFCC
- microphone arrays
- Microphones
- model adaptation
- multi-face tracking
- multi-lingual automatic speech recognition
- multi-lingual SAD
- Multi-modal Approach
- multi-modal database
- multi-task
- multilingual acoustic modeling
- Multilingual automatic speech recognition
- Multimodal machine translation
- multimodal signal processing
- multiple remote tower
- multiple sound sources
- multiple speaker detection
- multitask acoustic modeling
- multitask learning
- named entity recognition
- Natural language processing
- network output
- neural nets
- neural network
- neural network-based sound source localization methods
- neural networks
- node weighted graphs
- non-native speech
- online speech recognition
- OOV-word recognition
- open-architecture distributed system
- OpenSky Network
- Operant Motive Test
- OSINT
- Out- Of-Language (OOL) detection
- out-of-domain
- Out-Of-Language (OOL) detection
- parametric speech synthesis
- parametric synthesis
- perceptual evaluation of audio quality (PEAQ)
- personal data processing
- PLDA
- Position measurement
- Psycholinguistics
- rare word recognition
- Rare-word integration
- Raw Speech
- real-time audio processing
- real-time processing
- real-time speech recognition
- recurrent neural network
- reinforcement learning
- reliability estimation
- Representation and Processing
- resources and evaluation
- Robots
- Robust Automatic Speech Recognition
- saftety
- self-supervised pre-training
- semi-supervised learning
- Semi-supervised training
- sensor fusion
- SGMM
- SGMM adaptation
- signal processing
- simultaneous detection
- single sound source
- situation awareness
- sound mixtures
- sound source localization
- spatial spectrum-based approaches
- speaker adaptation
- Speaker change detection
- speaker clustering
- Speaker identification
- speaker recognition
- speaker role classification
- speaker role detection
- speaker role identification
- speaker turn detection
- speaker verification
- Speech activity detection
- speech coding
- speech dataset
- speech decoding
- speech meta-data
- speech quality evaluations
- speech recognition
- speech synthesis
- speech understanding
- Spoken Language Understanding
- Spoken Term Detection (STD)
- Subs-ace Gaussian Mixture Models
- subspace Gaussian mixture models
- supervised adaptation
- Supervised Autoencoders
- supervision
- System Combination
- Tandem
- Text classification
- Text Representation
- text to speech
- Text-based speaker diarization
- text-to-speech
- text-to-speech synthesis
- tower utterances
- training
- transfer learning
- transformers
- TTS
- Under-resourced data
- under-resourced languages
- under-resourced speech recognition
- unsupervised learning
- user identity linkage
- verification
- Very low bit rate speech coding
- voice-activity detection
- wav2vec 2.0
- wav2vec2
- weakly-supervised learning.
- Web data
- weighted finite state transducer
- WFST
- Word Consensus Networks
- Word-Confusion-Networks
- XLS-R
Publications of Petr Motlicek
2016
| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-08-2016 |
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| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 2016 |
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| Feature mapping using far-field microphones for distant speech recognition, , , and , in: Speech Communication, 83:1-9, 2016 |
[DOI] [URL] |
| Feature mapping using far-field microphones for distant speech recognition, , , and , Idiap-RR-20-2016 |
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| IDIAP SUBMISSION TO THE NIST SRE 2016 SPEAKER RECOGNITION EVALUATION, , , , and , Idiap-RR-32-2016 |
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| Implementation of the Standard I-vector System for the Kaldi Speech Recognition Toolkit, , , and , Idiap-RR-26-2016 |
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| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , Idiap-RR-09-2016 |
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| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5580-5584, IEEE, 2016 |
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| Integration of Real-Time Speech Processing Technologies for Online Gaming, , and , Idiap-Com-01-2016 |
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| Inter-task System Fusion for Speaker Recognition, , , , and , in: Proceeedings of the INTERSPEECH, 2016 |
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| Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages, , , , and , in: Proceedings of the International Workshop on Spoken Language Translation, Seattle, WA, USA, 2016 |
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| SYSTEM FUSION AND SPEAKER LINKING FOR LONGITUDINAL DIARIZATION OF TV SHOWS, , , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5495-5499, IEEE, 2016 |
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2015
| Channel Selection in the Short-time Modulation Domain for Distant Speech Recognition, , , , and , in: Proceedings of Interspeech, pages 741-745, 2015 |
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| Channel Selection in the Short-time Modulation Domain for Distant Speech Recognition; Comparison with the Envelope-Variance Measure, , , , and , Idiap-RR-30-2015 |
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| COMBINING SGMM SPEAKER VECTORS AND KL-HMM APPROACH FOR SPEAKER DIARIZATION, , and , Idiap-RR-17-2015 |
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| COMBINING SGMM SPEAKER VECTORS AND KL-HMM APPROACH FOR SPEAKER DIARIZATION, , and , in: Proceedings of ICASSP 2015, pages 4834-4837, 2015 |
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| EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, , , and , Idiap-RR-16-2015 |
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| EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, , , and , in: 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Brisbane, Australia, pages 4445-4449, 2015 |
[URL] |
| Exploiting foreign resources for DNN-based ASR, , , , and , Idiap-RR-27-2015 |
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| Exploiting foreign resources for DNN-based ASR, , , , and , in: EURASIP Journal on Audio, Speech, and Music Processing(2015:17), 2015 |
[DOI] |
| 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] |
| Integrating Online I-vector extractor with Information Bottleneck based Speaker Diarization system, , , and , Idiap-RR-20-2015 |
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| Integrating Online I-vector extractor with Information Bottleneck based Speaker Diarization system, , , and , in: Proceedings of Interspeech 2015, pages 3105-3109, 2015 |
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| Learning Feature Mapping using Deep Neural Network Bottleneck Features for Distant Large Vocabulary Speech Recognition, , , , , and , in: IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 4540-4544, 2015 |
[DOI] |
| Preliminary Work on Speaker Adaptation for DNN-Based Speech Synthesis, , and , Idiap-RR-02-2015 |
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| Towards utterance-based neural network adaptation in acoustic modeling, , , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, pages 289-295, 2015 |
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2014
| Development of Bilingual ASR System for MediaParl Corpus, , , and , Idiap-RR-21-2014 |
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| Development of Bilingual ASR System for MediaParl Corpus, , , and , in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, ISCA, 2014 |
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| Exploiting un-transcribed foreign data for speech recognition in well-resourced languages, , , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, IT, pages 2322 - 2326, IEEE, 2014 |
[DOI] |
| Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation, , , , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, pages 7639-7643, IEEE, 2014 |
[DOI] |
| Phoneme Background Model for Information Bottleneck based Speaker Diarization, , and , in: Interspeech 2014, 2014 |
| Phoneme Background Model for Information Bottleneck based Speaker Diarization, , and , in: Interspeech, Singapore, 2014 |
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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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