Keywords:
- accent embedding
- Accented speech
- Accentual mismatch
- acoustic generators
- Acoustic model adaptation
- acoustic modeling
- adaptation
- ADS-B data
- Aho-Corasick algorithm
- air surveillance data
- Air traffic control
- air traffic control communications
- air traffic controller
- air traffic controller’s workload
- air traffic management
- Air-Traffic Communication (ATC)
- Alzheimer's disease
- AM
- Anti-spoofing
- Arithmetic Coding
- Artificial intelligence
- Artificial Neural Networks
- ASR
- ASR robustness
- Assistant Based Speech Recognition
- association rules
- audio and voice analysis
- Audio Coding
- audiobook
- Automatic Depression Detection
- Automatic Speech Recognition
- automatic speech recognition (ASR)
- automatic speech recognition and understanding
- automatic speech understanding
- batch norm
- batch normalization
- bayesian fusion
- Benchmark
- Benchmarking
- BERT
- bias
- bias aware
- bias word error rate
- BNF
- Building Blocks
- call sign detection
- Call-sign Detection
- Call-sign Recognition
- chunking
- claim verification
- Clinical Interviews
- Command Prediction Model
- command recognition rate
- Confidence Measure (CM)
- contact-center speech
- Contextual Adaptation
- contextual ASR
- contextual biasing
- Contextualisation and adaptation of ASR
- conversational agents
- conversational AI
- conversational hallucination
- conversational modeling
- Convolutional Neural Networks
- crime scene dataset
- Criminal investigations
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- Customization of model
- data analysis
- Data Selection
- dataset
- deep learning
- Deep learning for speech
- deep MLPs
- Deep neural network
- deep neural networks
- Delays
- Depression Corpora
- depression detection
- dialogue
- dialogue evaluation
- dialogue flow
- dialogue simulation
- diarization
- digital mental health
- direction of arrival
- direction-of-arrival estimation
- Discourse Annotation
- Discriminative features
- DISPLACE-2
- dnn
- DOA estimation
- domain adaptation
- Domain Classification
- dropout
- Dual mode encoder
- ECAPA-TDNN embedding
- electronic flight strips
- embedding
- Encoding
- end-to-end
- end-to-end ASR
- entity linking
- entity recognition
- entity-aware evaluation
- Entropy Coding
- Environmental mismatch
- Estimation
- explainability
- F1 score
- face verification
- fact checking
- factual reporting
- Feature extraction
- fine-tuning
- finite-state transducers
- flow-aware metrics
- FM
- fmllr
- Forensics
- Foundation Models
- Frequency Domain Linear Prediction (FDLP)
- fvae-lora
- gaming
- GDPR
- GMM
- GPU decoding
- Graph Convolutional Network (GCN)
- Graph Convolutional Networks
- Graph Neural Networks
- hallucination
- hallucination detection
- 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)
- latent space factorization
- Lattice-Free MMI
- LEA
- legal framework
- LID
- likelihood-based encoding
- limited training data
- Linear prediction
- LLM
- LLM evaluation
- LLM-based ASR
- local speaker segmentation
- logistic regression
- LoRA
- Low resource language
- low-rank adaptation
- low-resource
- LVCSR
- machine learning
- Machine Translation
- media bias
- Mental Lexicon
- MFCC
- microphone arrays
- Microphones
- model adaptation
- model fine-tuning
- 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 analysis
- 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
- orchestration
- 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
- personas
- PLDA
- Position measurement
- procedural hallucination
- procedural similarity
- prompt projection
- Prompting
- pseudo-labelling
- Psycholinguistics
- rare word recognition
- Rare-word integration
- Raw Speech
- real-time ASR
- real-time audio processing
- real-time processing
- real-time speech recognition
- recurrent neural network
- reinforcement learning
- reliability estimation
- Representation and Processing
- reproducibility
- resources and evaluation
- Robots
- Robust Automatic Speech Recognition
- ROXANNE
- ROXSD
- saftety
- scenario management
- self-supervised learning
- self-supervised pre-training
- semi-supervised learning
- Semi-supervised training
- sensor fusion
- sentence embeddings
- Sentiment Analysis
- SGMM
- SGMM adaptation
- shallow fusion
- signal processing
- simulated Call Detail Records (CDRs)
- simultaneous detection
- single sound source
- situation awareness
- sound mixtures
- sound source localization
- spatial spectrum-based approaches
- speaker adaptation
- Speaker change detection
- speaker clustering
- Speaker Diarization
- 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 LLMs
- speech meta-data
- speech quality evaluations
- speech recognition
- speech synthesis
- speech understanding
- Speech-to-LLM alignment
- speech-to-text alignment
- spoken dialogue systems
- Spoken Language Understanding
- Spoken Term Detection (STD)
- spurious correlation robustness
- streaming ASR
- streaming transducer
- Subs-ace Gaussian Mixture Models
- subspace Gaussian mixture models
- supervised adaptation
- Supervised Autoencoders
- supervision
- synthetic dialogue
- synthetic NCD dataset
- System Combination
- Tandem
- task-oriented dialog
- task-oriented dialogue
- Text classification
- text denoising
- Text fine-tuning
- Text Representation
- text to speech
- Text-based speaker diarization
- text-to-speech
- text-to-speech synthesis
- topic modelling
- tower utterances
- TRACY · Law Enforcement Agencies · Suspect Detection· Non-Content Data· Social Influence Analysis· Link Prediction
- TRACY· Non-Content data· Law Enforcement Agencies · Suspect Detection· Mobile Signaling Data· ROXANNE
- training
- transfer learning
- transformer transducer
- 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
- Whisper models
- Word Consensus Networks
- Word-Confusion-Networks
- XLS-R
- XLSR
- XLSR-Transducer
- Zipformer
Publications of Petr Motlicek sorted by first author
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| Performance Evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward, , , , , , , , , and , in: SALMA Workshop, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, IEEE, 2025 |
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| Abstract Compression of Conversational Audio Context for LLM-based ASR, , , , , , , , , and , in: IEEE Spoken Language Technology 2026, 2026 |
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| Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization, , , , , , , , , , , , , and , in: Interspeech 2026, 2026 |
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| How to Leverage Synthetic Speech for LLM-Based ASR Systems?, , , , , , , , , , , and , in: IEEE Spoken Language Technology 2026, 2026 |
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| TRACY Canvas: A Criminal Network Visualization Tool, , , , , and , Idiap-RR-03-2025 |
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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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| Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , in: Actes de la conference conjointe JEP-TALN-RECITAL 2012, Grenoble, France, pages 193-200, ATALA/AFCP, 2012 |
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| Supervised and unsupervised Web-based language model domain adaptation, , , and , Idiap-RR-22-2012 |
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| Supervised and unsupervised Web-based language model domain adaptation, , , and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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| Impact du degré de supervision sur l'adaptation à un domaine d'un modèle de langage à partir du Web, , , and , Idiap-RR-23-2012 |
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| Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , Idiap-RR-21-2012 |
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| Conversion of Recurrent Neural Network Language Models to Weighted Finite State Transducers for Automatic Speech Recognition, and , in: Proceedings of Interspeech, Portland, Oregon, USA, pages to appear, 2012 |
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| Domain-specific language model adaptation: a case study, , and , Idiap-Com-01-2013 |
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| Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses, , , , , and , Idiap-RR-04-2026 |
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| IDIAP SUBMISSION TO THE NIST SRE 2016 SPEAKER RECOGNITION EVALUATION, , , , and , Idiap-RR-32-2016 |
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| A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, , and , Idiap-RR-07-2020 |
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| A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, , and , in: In Proceedings of ICASSP 2019, Brighton, ENGLAND, pages 5786-5790, 2019 |
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| Analysis of Language Dependent Front-End for Speaker Recognition, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 1101-1105, 2018 |
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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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| INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, , , and , Idiap-RR-05-2017 |
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| 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 |
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| 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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| Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition System, , , , , and , Idiap-RR-28-2020 |
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| Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition System, , , , , and , in: In Proceedings of Interspeech 2020, pages 4746--4750, ISCA, 2020 |
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| Multitask adaptation with Lattice-Free MMI for multi-genre speech recognition of low resource languages, , and , in: Proceedings of Interspeech 2021, 2021 |
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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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| Analysis of Posterior Estimation Approaches to I-vector Extraction for Speaker Recognition, , , and , Idiap-RR-15-2018 |
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| Autocrime - open multimodal platform for combating organized crime, , , , , , , , , , , , , , , , , and , in: Forensic Science International: Digital Investigation, 54, 2025 |
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| Idiap submission to the NIST SRE 2018 Speaker Recognition Evaluation, , , and , Idiap-RR-17-2019 |
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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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| HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition, , , and , in: Proc. Interspeech 2023, Ireland, 2023 |
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| SPOKEN LANGUAGE IDENTIFICATION USING LANGUAGE BOTTLENECK FEATURES, , , , , and , Idiap-RR-08-2019 |
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| Automatic Out-of-Language Detection based on Confidence Measures derived from LVCSR Word and Phone Lattices, , Idiap-RR-06-2009 |
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| Automatic Out-of-Language Detection Based on Confidence Measures Derived fromLVCSR Word and Phone Lattices, , in: 10thAnnual Conference of the International Speech Communication Association, ISCA, Brighton, England, 2009 |
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| LP-TRAPs in all senses, , Idiap-RR-66-2007 |
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