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
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| Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, , and , Idiap-Com-01-2019 |
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| 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] |
| Deep Neural Networks for Multiple Speaker Detection and Localization, , and , Idiap-RR-02-2018 |
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| 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] |
| Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network, , and , in: Proceedings of Interspeech, pages 312--316, 2018 |
[DOI] |
| Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network, , and , Idiap-RR-17-2018 |
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| Automatic Speech Recognition and Understanding for Radar Label Maintenance Support Increases Safety and Reduces Air Traffic Controllers’ Workload, , , , , , , , , , , and , in: Fifteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2023), Eurocontrol (Europe), FAA (U.S.), Savannah, Georgia, USA, 2023 |
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| Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, , , , , , , , , , , , , and , in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021 |
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| Measuring Speech Recognition And Understanding Performance in Air Traffic Control Domain Beyond Word Error Rates, , , , , , , , and , in: 11th SESAR Innovation Days, 2021 |
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| Voice Presentation Attack Detection Using Convolutional Neural Networks, , , , , and , in: Handbook of Biometric Anti-Spoofing, pages 391--415, Springer, 2019 |
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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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| 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] |
| 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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| 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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| 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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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , Idiap-RR-01-2013 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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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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| Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition, , , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013 |
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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] |
| Improving callsign recognition with air-surveillance data in air-traffic communication, , , and , Idiap-RR-20-2021 |
[URL] |
| A two-step approach to leverage contextual data: speech recognition in air-traffic communications, , , , and , in: Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , Idiap-RR-02-2023 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , in: Proc. Interspeech 2023, 2023 |
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| Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding, , , , , , , , , , and , in: Aerospace, 10(10):898, 2023 |
[DOI] [URL] |
| Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , Idiap-RR-14-2021 |
[URL] |
| Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , in: Interspeech 2021, 2021 |
[URL] |
| Automatic Speech Recognition Benchmark for Air-Traffic Communications, , , , and , in: Proc. Interspeech 2020, pages 2297-2301, 2020 |
[DOI] |
| A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers, , , , and , in: Aerospace, 10(5), 2023 |
[DOI] [URL] |
| How Does Pre-trained Wav2Vec 2.0 Perform on Domain-Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications, , , , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
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| BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications, , , , , , and , Idiap-RR-15-2021 |
| BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications, , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
[URL] |
| Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications, , , , , , , , , , , , , , , and , in: Proceedings of 8th OpenSky Symposium 2020, OpenSky Network, pages 1-10, MDPI, 2020 |
[DOI] [URL] |