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 sorted by first author
A
| 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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B
| Hierarchical Multi-task learning framework for Isometric-Speech Language Translation, , , and , in: ACL, 2022 |
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| DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues, , , and , in: Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), 2022 |
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| An End-to-End Multilingual System for Automatic Minuting of Multi-Party Dialogues, , , and , in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36) , In proceedings of ACL Anthology, 2022 |
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| CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, , , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024 |
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| Customization of Automatic Speech Recognition Engines for Rare Word Detection Without Costly Model Re-Training, , , , , , and , in: Proc. 13th SESAR Innovation Days, Seville, Spain, 2023 |
[DOI] [URL] |
| HMIST: Hierarchical Multilingual Isometric Speech Translation using Multi-Task Learning Framework for Automatic Dubbing, , , and , in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022 |
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| Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity, , , , and , in: Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), NAACL 2022, 2022 |
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| Current trends in multilingual speech processing, , , , , , , , and , in: Sadhana, 36(5):885–915, 2011 |
[DOI] [URL] |
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, , and , in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021 |
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| Together Anywhere, Together Anytime, Technologies for Intimate Interactions, , , and , Centrum Wiskunde & Informatica, 2012 |
| IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, , , , , , and , Idiap-RR-13-2022 |
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| IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, , , , , , and , in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022 |
[URL] |
| DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews, , , , , and , in: Proceedings of the 6th Clinical Natural Language Processing Workshop, Association for Computational Linguistics, 2024 |
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| Reliability Estimation of News Media Sources: Birds of a Feather Flock Together, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024 |
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| Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , Idiap-RR-03-2023 |
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| Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , in: Proceedings of Interspeech, 2023 |
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C
| 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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| 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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| 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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D
| CONTENT NORMALIZATION FOR TEXT-INDEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-31-2017 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , Idiap-RR-06-2018 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 |
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| 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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| End-to-end text-dependent speaker verification using novel distance measures, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, Aug 02-Sep 06, 2018, pages 3598-3602, 2018 |
[DOI] |
| 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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| Content Normalization for Text-dependent Speaker Verification, , , and , in: Proc. of Interspeech, 2017 |
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