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| Real-time Multiple Head Tracking Using Texture and Colour Cues, and , Idiap-RR-02-2017 |
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| An Automatic Speaker Clustering Pipeline for the Air Traffic Communication Domain, , , , , , and , in: Aerospace, 10(10):876, 2023 |
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| Kullback-Leibler Proximal Variational Inference, , , and , in: Proceedings of the international conference on Neural Information Processing Systems, pages 3402-3410, 2015 |
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| Bio-Medical Multi-label Scientific Literature Classification using LWAN and Dual-attention module, , , , and , in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022 |
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| IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention Mechanism, , and , in: ACL, 2022 |
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| ParsiNLU: A Suite of Language Understanding Challenges for Persian, , , , , , , , , , , , , , , , , , , , , and , in: TACL, 2021 |
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| 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 |
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| 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 |
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| Towards a breakthrough speaker identification approach for law enforcement agencies, , , , , , , , , and , Idiap-RR-29-2017 |
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| INCREMENTAL SEMI-SUPERVISED LEARNING FOR MULTI-GENRE SPEECH RECOGNITION, , , , , and , in: Proceedings of ICASSP 2020, 2020 |
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| INVESTIGATING TIME DELAY NEURAL NETWORK (TDNN) FOR LANGUAGE MODELING IN LOW RESOURCE AUTOMATIC SPEECH RECOGNITION, , , and , Idiap-RR-13-2019 |
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| STACKED NEURAL NETWORKS WITH PARAMETER SHARING FOR MULTILINGUAL LANGUAGE MODELING, , , , , and , Idiap-RR-12-2019 |
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| Modeling Dialectal Variation for Swiss German Automatic Speech Recognition, , and , in: Proceedings of Interspeech, 2021 |
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| Learning to Translate Low-Resourced Swiss German Dialectal Speech into Standard German Text, , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, Colombia, Cartagena, IEEE, 2021 |
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| 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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| Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric, , , and |
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| COMPARISON OF SUBWORD SEGMENTATION METHODS FOR OPEN-VOCABULARYEND-TO-END SPEECH RECOGNITION, , , and , Idiap-RR-34-2020 |
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| Hierarchical speaker clustering methods for the NIST i-vector Challenge, , , and , in: Odyssey: The Speaker and Language Recognition Workshop, 2014 |
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| SPEAR: An open source toolbox for speaker recognition based on Bob, , and , in: Proceedings of the 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1655 - 1659, 2014 |
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| The Idiap Speaker Recognition Evaluation System at NIST SRE 2012, , and , in: NIST Speaker Recognition Conference, NIST, Orlando, USA, 2012 |
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| Bi-Modal Biometric Authentication on Mobile Phones in Challenging Conditions, , , , and , in: Image and Vision Computing:1147-1160, 2014 |
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| Bi-Modal Biometric Authentication on Mobile Phones in Challenging Conditions, , , , and , Idiap-RR-30-2013 |
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| Fusing Matching and Biometric Similarity Measures for Face Diarization in Video, , and , in: Proceedings of the 3rd ACM conference on International conference on multimedia retrieval, Dallas, Texas, USA, pages 97-104, ACM, 2013 |
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| Fusing Matching and Biometric Similarity Measures for Face Diarization in Video, , and , Idiap-RR-31-2013 |
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| On the Improvements of Uni-modal and Bi-modal Fusions of Speaker and Face Recognition for Mobile Biometrics, , , and , Idiap-RR-35-2013 |
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| On the Improvements of Uni-modal and Bi-modal Fusions of Speaker and Face Recognition for Mobile Biometrics, , , and , in: Biometric Technologies in Forensic Science, Nijmegen, The Netherlands, 2013 |
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| Introducing I-Vectors for Joint Anti-spoofing and Speaker Verification, , , , and , in: The 15th Annual Conference of the International Speech Communication Association, 2014 |
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| Combining transcription-based and acoustic-based speaker identifications for broadcast news, , , and , in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012 |
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| ICB 2013 - Competition on speaker recognition in mobile environment using the MOBIO database: The Evaluation Plan, , and , Idiap-Com-04-2012 |
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| Audiovisual Diarization Of People In Video Content, , and , in: Multimedia Tools and Applications, 2012 |
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| The 2013 Speaker Recognition Evaluation in Mobile Environment, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Idiap-RR-32-2013 |
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| The 2013 Speaker Recognition Evaluation in Mobile Environment, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: The 6th IAPR International Conference on Biometrics, 2013 |
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| Referencing in YouTube Knowledge Communication Videos, and , in: ACM International Conference on Interactive Media Experiences (IMX '23), June 2023, Nantes, France, 2023 |
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| Predicting the Conflict Level in Television Political Debates: an Approach Based on Crowdsourcing, Nonverbal Communication and Gaussian Processes, , , and , in: ACM Multimedia, 2012 |
| Automatic detection of conflicts in spoken conversations: ratings and analysis of broadcast political debates, , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 2012 |
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| Automatic detection of conflict escalation in spoken conversations, , and , in: INTERSPEECH, ISCA, Portland, Oregon, USA., 2012 |
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| Towards rich mobile phone datasets: Lausanne data collection campaign, , , , and , in: Proc. ACM Int. Conf. on Pervasive Services (ICPS,',','), Berlin., 2010 |
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| 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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| Automated Interpretation of Air Traffic Control Communication: The Journey from Spoken Words to a Deeper Understanding of the Meaning, , , , , , , and , in: 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), San Antonio, TX, USA, pages 1-9, IEEE, 2021 |
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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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| Machine Learning of Controller Command Prediction Models from Recorded Radar Data and Controller Speech Utterances, , , , , , and , in: Proceedings of the 7th SESAR Innovation Days (SID), University of Belgrade, Belgrade, Serbia, 2017 |
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| 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 |
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| Engagement-based Multi-party Dialog with a Humanoid Robot, , , , , , and , in: Proceedings of the SIGDIAL 2011: the 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 341-343, 2011 |
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| Robot-to-group Interaction in a Vernissage: Architecture & Dataset for Multi-party Dialog, , , , , , , and , in: Proceedings of 5th International Conference on Cognitive Systems, 2012 |
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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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| 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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| Temporal envelope and fine structure cues for dysarthric speech detection using convolutional neural networks, , in: IEEE Signal Processing Letters, 2021 |
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| Spectro-temporal sparsity characterization for dysarthric speech detection, and , in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1210-1222, 2020 |
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| Super-gaussianity of Speech Spectral Coefficients as a Potential Biomarker for Dysarthric Speech Detection, and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2019 |
| Statistical modeling of speech spectral coefficients in patients with Parkinson's disease, and , in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018 |
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