Automatic Speech Recognition
Publications for keyword "Automatic Speech Recognition"
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2023
| 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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| Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation, and , in: Proceedings of Interspeech, pages 156-160, 2023 |
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| 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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| On matching data and model in LF-MMI-based dysarthric speech recognition, , École polytechnique fédérale de Lausanne, 2023 |
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| Sparse Autoencoders for Speech Modeling and Recognition, , École polytechnique fédérale de Lausanne, 2023 |
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| Using Commercial ASR Solutions to Assess Reading Skills in Children: A Case Report, , , , , and , in: Proceedings of Interspeech, pages 4573-4577, 2023 |
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| Validating Automatic Speech Recognition and Understanding for Pre-Filling Radar Labels-Increasing Safety While Reducing Air Traffic Controllers' Workload, , , , , , , and , in: Aerospace, 10(6):538, 2023 |
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2021
| An Evaluation Benchmark for Automatic Speech Recognition of German-English Code-Switching, , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, 2021 |
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| Automatic processing pipeline for collecting and annotating air-traffic voice communication data, , , , , , , , , and , in: Proceedings of 9th OpenSky Symposium 2020, OpenSky Network, Brussels, Belgium, pages 1-9, MDPI, 2021 |
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| Boosting of contextual information in ASR for air-traffic call-sign recognition, , , , , , , and , in: Interspeech 2021, 2021 |
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2020
| AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, , , , and , Idiap-RR-01-2020 |
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| 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 |
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| Automatic Speech Recognition Benchmark for Air-Traffic Communications, , , , and , in: Proc. Interspeech 2020, pages 2297-2301, 2020 |
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| Dysarthric Speech Recognition with Lattice-Free MMI, and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6109-6113, 2020 |
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| Language model domain adaptation for automatic speech recognition, , and , Idiap-RR-05-2020 |
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2018
| 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 |
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| 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 |
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| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , in: Speech Communication, 96:168-183, 2018 |
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2017
| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
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2016
| Articulatory feature based continuous speech recognition using probabilistic lexical modeling, and , in: Computer Speech and Language, 36:233-259, 2016 |
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2015
| EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, , , and , Idiap-RR-16-2015 |
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| Exploiting foreign resources for DNN-based ASR, , , , and , Idiap-RR-27-2015 |
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| Statistical Models in Automatic Speech Recognition, , University of Fribourg, Department of Mathematics, 2015 |
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2014
| Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , Idiap-RR-02-2014 |
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| Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling, and , Idiap-RR-19-2014 |
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| Grapheme-based Automatic Speech Recognition using Probabilistic Lexical Modeling, , École polytechnique fédérale de Lausanne, 2014 |
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2013
| ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS, , , and , Idiap-RR-38-2013 |
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| Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation, , and , Idiap-RR-39-2013 |
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| FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK, , and , Idiap-RR-37-2013 |
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| Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , Idiap-RR-14-2013 |
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| Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition, and , Idiap-RR-15-2013 |
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2012
| Application of Subspace Gaussian Mixture Models in Contrastive Acoustic Scenarios, , , and , Idiap-RR-20-2012 |
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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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| Grapheme and Multilingual Posterior Features For Under-Resource Speech Recognition: A Study on Scottish Gaelic, , and , Idiap-RR-34-2012 |
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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 , in: Actes de la conference conjointe JEP-TALN-RECITAL 2012, Grenoble, France, pages 193-200, ATALA/AFCP, 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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| 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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| The Kaldi Speech Recognition Toolkit, , , , , , , , , , , , and , Idiap-RR-04-2012 |
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| Who Wants To Be A Millionaire?, , , and , Idiap-Com-03-2012 |
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2011
| Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition., , Idiap-RR-15-2011 |
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