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 recency
| Abstract Text Summarization: A Low Resource Challenge, and , in: In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), HongKong, China, pages 5, Association for Computational Linguistics (ACL), 2019 |
|
| German News Article Classification : A Multichannel CNN Approach, , and , Idiap-RR-09-2020 |
|
| Cross-lingual Automatic Speech Recognition Exploiting Articulatory Features, , , , and , Idiap-RR-05-2021 |
[URL] |
| Spoken language identification using language bottleneck features, , , , , and , in: Proceedings of TSD, 2019 |
|
| Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition, , , and , in: Proc. of Interspeech 2019, 2019 |
| End-to-end Accented Speech Recognition, , and , Idiap-RR-04-2022 |
|
| Idiap Abstract Text Summarization System for German Text Summarization Task, and , Idiap-RR-03-2020 |
|
| Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, pages 770-774, 2019 |
[DOI] |
| SPOKEN LANGUAGE IDENTIFICATION USING LANGUAGE BOTTLENECK FEATURES, , , , , and , Idiap-RR-08-2019 |
|
| Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers, , , , , , , , , and , in: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, San Diego, California, USA, pages 820 - 826, 2019 |
[DOI] |
| Building Blocks of Assistant Based Speech Recognition for Air Traffic Management Applications, , , , , , , and , in: Conference: SESAR Innovation Days 2018, European Union, Eurocontrol, Salzburg, Austria, SESARJU, 2018 |
[URL] |
| Iterative Learning of Speech Recognition Models for Air Traffic Control, , , , , , and , in: Proceedings of Interspeech 2018, ISCA, Hyderabad, India, pages 3519-3523, 2018 |
[DOI] |
| Voice Presentation Attack Detection Using Convolutional Neural Networks, , , , , and , in: Handbook of Biometric Anti-Spoofing, pages 391--415, Springer, 2019 |
[URL] |
| A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, , and , Idiap-RR-07-2020 |
|
| Language model domain adaptation for automatic speech recognition, , and , Idiap-RR-05-2020 |
|
| Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, , and , Idiap-Com-01-2019 |
|
| INVESTIGATING TIME DELAY NEURAL NETWORK (TDNN) FOR LANGUAGE MODELING IN LOW RESOURCE AUTOMATIC SPEECH RECOGNITION, , , and , Idiap-RR-13-2019 |
|
| STACKED NEURAL NETWORKS WITH PARAMETER SHARING FOR MULTILINGUAL LANGUAGE MODELING, , , , , and , Idiap-RR-12-2019 |
|
| Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas, , , , , , , , , , and , in: 37th AIAA/IEEE Digital Avionics Systems Conference, AIAA/IEEE, London, 2018 |
[URL] |
| SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies, , , , , , , , , and , in: Big Data and Artificial Intelligence for Military Decision Making, http://www.sto.nato.int/, pages PT-1 - 1: PT-1 - 14, STO, 2018 |
[DOI] [URL] |
| Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network, , and , Idiap-RR-17-2018 |
|
| Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network, , and , in: Proceedings of Interspeech, pages 312--316, 2018 |
[DOI] |
| 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] |
| Analysis of Language Dependent Front-End for Speaker Recognition, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 1101-1105, 2018 |
[DOI] |
| 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 |
|
| Deep Neural Networks for Multiple Speaker Detection and Localization, , and , in: 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, AUSTRALIA, pages 74-79, 2018 |
[DOI] |
| 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] |
| INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, , , and , in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, pages 5365-5369, 2017 |
[DOI] |
| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , Idiap-RR-06-2018 |
|
| Towards a breakthrough speaker identification approach for law enforcement agencies, , , , , , , , , and , Idiap-RR-29-2017 |
|
| Deep Neural Networks for Multiple Speaker Detection and Localization, , and , Idiap-RR-02-2018 |
|
| A Context-Aware Speech recognition and Understanding System for Air Traffic Control Domain, , , , , and , in: Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, Okinawa, Japan, 2017 |
|
| Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control, , , , , and , Idiap-RR-21-2017 |
|
| Content Normalization for Text-dependent Speaker Verification, , , and , in: Proc. of Interspeech, 2017 |
|
| Template-matching for Text-dependent Speaker Verification, , , and , in: Speech Communication, 2017 |
|
| Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control, , , , , and , in: Proceedings of Interspeech 2017, Stockholm, Sweden, pages 2406-2410, 2017 |
[DOI] |
| EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, pages 5370-5374, 2017 |
|
| CONTENT NORMALIZATION FOR TEXT-INDEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-31-2017 |
|