Keywords:
- accent embedding
- 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 (ASR)
- automatic speech recognition and understanding
- automatic speech understanding
- batch norm
- batch normalization
- bayesian fusion
- BERT
- bias
- 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
- conversational modeling
- Convolutional Neural Networks
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- Customization of model
- data analysis
- Data Selection
- 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
- Domain Classification
- dropout
- electronic flight strips
- Encoding
- end-to-end
- end-to-end ASR
- entity linking
- Entropy Coding
- Environmental mismatch
- Estimation
- explainability
- F1 score
- face verification
- fact checking
- factual reporting
- 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
- information verification
- 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 Language Models
- 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
- media bias
- 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
- multitask training
- named entity recognition
- Natural language processing
- network output
- neural nets
- neural network
- neural network-based sound source localization methods
- neural networks
- news media
- 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
- pseudo-labelling
- 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
- ROXANNE
- ROXSD
- saftety
- self-supervised pre-training
- semi-supervised learning
- Semi-supervised training
- sensor fusion
- sentence embeddings
- Sentiment Analysis
- SGMM
- SGMM adaptation
- shallow fusion
- 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 dialogue systems
- Spoken Language Understanding
- Spoken Term Detection (STD)
- streaming transducer
- Subs-ace Gaussian Mixture Models
- subspace Gaussian mixture models
- supervised adaptation
- Supervised Autoencoders
- supervision
- System Combination
- Tandem
- task-oriented dialog
- Text classification
- Text Representation
- text to speech
- Text-based speaker diarization
- text-to-speech
- text-to-speech synthesis
- tower utterances
- TRACY · Law Enforcement Agencies · Suspect Detection· Non-Content Data· Social Influence Analysis· Link Prediction
- 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
- whisper
- Word Consensus Networks
- Word-Confusion-Networks
- XLS-R
- XLSR-Transducer
- Zipformer
Publications of Petr Motlicek sorted by title
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| The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events, , , , , , , , , , , , , and , Idiap-RR-41-2010 |
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| The DIRAC AWEAR Audio-Visual Platform for Detection of Unexpected and Incongruent Events, , , , , , , , , , , , , and , in: Proceedings of the International Conference on Multimodal Interfaces, 2008 |
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| The Kaldi Speech Recognition Toolkit, , , , , , , , , , , , and , Idiap-RR-04-2012 |
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| The Kaldi Speech Recognition Toolkit, , , , , , , , , , , , and , in: IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, Hilton Waikoloa Village, Big Island, Hawaii, US, IEEE Signal Processing Society, 2011 |
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| The MuMMER data set for Robot Perception in multi-party HRI Scenarios, , , and , in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020 |
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| The TA2 Database - A Multi-Modal Database from Home Entertainment, , and , Idiap-RR-37-2010 |
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| The TA2 Database - A Multi-Modal Database from Home Entertainment, , and , in: International Conference on Signal Acquisition and Processing, Singapore, 2011 |
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| The TA2 Database – A Multi-Modal Database From Home Entertainment, , and , in: International Journal of Computer and Electrical Engineering, 4(5):670-673, 2012 |
[URL] |
| Together Anywhere, Together Anytime, Technologies for Intimate Interactions, , , and , Centrum Wiskunde & Informatica, 2012 |
| TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR, , , , , , , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20988–20995, Association for Computational Linguistics (ACL), 2024 |
[URL] |
| TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR, , , , , , , , and , Idiap-RR-07-2024 |
[URL] |
| Towards a breakthrough speaker identification approach for law enforcement agencies, , , , , , , , , and , Idiap-RR-29-2017 |
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| Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP, , , , , , , , , and , in: European Intelligence and Security Informatics Conference (EISIC) 2017, Athenes, Greece, pages 32-39, IEEE Computer Society, 2017 |
[DOI] [URL] |
| 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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| Unsupervised Speech/Non-speech Detection for Automatic Speech Recognition in Meeting Rooms, , and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007 |
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| Unsupervised Speech/Non-speech Detection for Automatic Speech Recognition in Meeting Rooms, , and , Idiap-RR-57-2006 |
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| Using out-of-language data to improve an under-resourced speech recognizer, , , and , in: Speech Communication, 2013 |
[DOI] [URL] |
| Using out-of-language data to improve an under-resourced speech recognizer, , , and , Idiap-RR-09-2013 |
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| VARIATIONAL BAYESIAN SPEAKER DIARIZATION OF MEETING RECORDINGS, , and , in: Proceedings of ICASSP, 2010 |
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| Voice Presentation Attack Detection Using Convolutional Neural Networks, , , , , and , in: Handbook of Biometric Anti-Spoofing, pages 391--415, Springer, 2019 |
[URL] |
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| Who Wants To Be A Millionaire?, , , and , Idiap-Com-03-2012 |
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| Who Wants To Be A Millionaire? (II), , and , Idiap-Com-02-2013 |
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| Wide-Band Audio Coding based on Frequency Domain Linear Prediction, , and , Idiap-RR-32-2009 |
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| Wide-Band Audio Coding based on Frequency Domain Linear Prediction, , , and , in: EURASIP Journal on Audio Speech and Music Processing, 2010(856280), 2010 |
[DOI] [URL] |
| Wide-Band Perceptual Audio Coding based on Frequency-Domain Linear Prediction, , and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2007 |
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| Wide-Band Perceptual Audio Coding based on Frequency-Domain Linear Prediction, , and , Idiap-RR-58-2006 |
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X
| XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models, , , , , , , and , Idiap-RR-08-2024 |
[URL] |