All publications sorted by author
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 |
V
CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, , , and , in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 2019 |
[DOI] |
Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities, , , and , in: Sustainable Cities and Society, 2018 |
[DOI] |
TDOA Matrices: Algebraic Properties and their Application to Robust Denoising with Missing Data, , , and , in: IEEE Transactions on Signal Processing, 64(20):5242-5254, 2016 |
[DOI] [URL] |
Novel GCC-PHAT Model in Diffuse Sound Field for Microphone Array Pairwise Distance Based Calibration, , , , , , and , in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2669-2673, 2015 |
|
Subjective Evaluation of Join Cost and Smoothing Methods for Unit Selection Speech Synthesis, and , in: IEEE Trans. on Audio, Speech and Language Processing, 14(5), 2006 |
|
Subjective Evaluation of Join Cost and Smoothing Methods for Unit Selection Speech Synthesis, and , Idiap-RR-34-2005 |
|
Subjective Evaluation of Join Cost Functions Used in Unit Selection Speech Synthesis, and , in: Proceedings of ICSLP, 2004 |
|
Subjective Evaluation of Join Cost Functions Used in Unit Selection Speech Synthesis, and , Idiap-RR-26-2004 |
|
Decision fusion using a multi-linear classifier, , and , in: 1st International Conference on Multisource-Multisensor Data Fusion, 1998 |
Decision fusion in a multi-modal identity verification system using a multi-linear classifier, , and , Idiap-RR-06-1997 |
Machine Learning for Adverse Event Detection in Latent Tuberculosis Infection Treatment, , Idiap-Com-02-2020 |
|
Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS, , , and , in: Neuropathology and Applied Neurobiology, 2021 |
Définition et évaluation d'un protocole de négociation dans un système multi-agents de reconnaissance de la parole, , Idiap-RR-02-1995 |
Towards a Multi-agents Approach for Understanding Speech, and , Idiap-Com-05-1996 |
|
End-to-end Accented Speech Recognition, , and , Idiap-RR-04-2022 |
|
End-to-End Accented Speech Recognition, , and , in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019 |
[DOI] |
An Information Theoretic Approach to Speaker Diarization of Meeting Recordings, , Ecole polytechnique fédérale de Lausanne, 2010 |
|
Speaker Diarization of Meetings based on large TDOA feature vectors, and , in: Proceedings of International Conference on Acoustic, Speech and Signal Processing, 2012 |
|
DiarTk : An Open Source Toolkit for Research in Multistream Speaker Diarization and its Application to Meetings Recordings, and , in: Proceedings of Interspeech, 2012 |
|
Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features, , and , in: Speech Communication, 54(1), 2012 |
[DOI] |
An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization, , and , in: IEEE Transactions on Audio Speech and Language Processing, 19(2), 2011 |
[DOI] |
KL Realignment for Speaker Diarization with Multiple Feature Streams, , and , Idiap-RR-24-2010 |
|
Multistream Speaker Diarization beyond Two Acoustic Feature Streams, , and , in: International Conference on Acoustics, Speech, and Signal Processing, 2010 |
|
Advances in Fast Multistream Diarization based on the Information Bottleneck Framework, , and , Idiap-RR-23-2010 |
|
An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization, , and , Idiap-RR-22-2010 |
|
Advances in Fast Multistream Diarization based on the Information Bottleneck Framework, , and , in: Proceedings of Interspeech, 2010 |
An Information Theoretic Approach to Speaker Diarization of Meeting Data, , and , in: IEEE Transactions on Audio Speech and Language Processing, 17(7), 2009 |
[DOI] |
MUTUAL INFORMATION BASED CHANNEL SELECTION FOR SPEAKER DIARIZATION OF MEETINGS DATA, , and , in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2009 |
|
Mutual Information based Channel Selection for Speaker Diarization of Meetings Data, , and , in: Proceedings of International conference on acoustics speech and signal processing, 2009 |
KL Realignment for Speaker Diarization with Multiple Feature Streams, , and , in: 10th Annual Conference of the International Speech Communication Association, 2009 |
Integration of TDOA Features in Information Bottleneck Framework for Fast Speaker Diarization, , and , Idiap-RR-26-2008 |
|
COMBINATION OF AGGLOMERATIVE AND SEQUENTIAL CLUSTERING FOR SPEAKER DIARIZATION, , and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2008 |
|
An Information Theoretic Approach to Speaker Diarization of Meeting Data, , and , Idiap-RR-58-2008 |
|
Integration of TDOA Features in Information Bottleneck Framework for Fast Speaker Diarization, , and , in: Interspeech 2008, 2008 |
|
AGGLOMERATIVE INFORMATION BOTTLENECK FOR SPEAKER DIARIZATION OF MEETINGS DATA, , and , in: IEEE Automatic Speech Recognition and Understanding Workshop, 2007 |
|
AGGLOMERATIVE INFORMATION BOTTLENECK FOR SPEAKER DIARIZATION OF MEETINGS DATA, , and , Idiap-RR-31-2007 |
|
COMBINATION OF AGGLOMERATIVE AND SEQUENTIAL CLUSTERING FOR SPEAKER DIARIZATION, , and , Idiap-RR-51-2007 |
|
MULTISTREAM SPEAKER DIARIZATION THROUGH INFORMATION BOTTLENECK SYSTEM OUTPUTS COMBINATION, , and , in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2011 |
|
Investigating Semantic Segmentation Models to Assist Visually Impaired People, , and , Idiap-RR-13-2024 |
|
Investigating Semantic Segmentation Models to Assist Visually Impaired People, , and , in: European Conference on Computer Vision - Workshops, 2024 |
|
Multi-scale sequential network for semantic text segmentation and localization, , and , in: Pattern Recognition Letters, 129:63-69, 2020 |
[DOI] [URL] |
WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion, , , and , in: Machine Vision and Applications, 2020 |
|
WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems, , , and , in: IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, NEW ZEALAND, pages 109-114, 2018 |
|
Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition, , , , , and , Idiap-RR-09-2021 |
|
Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition, , , , , and , in: Proceedings of Interspeech 2021, ISCA-International Speech Communication Association 2021, 2021 |
|
Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, , , , and , Idiap-RR-06-2022 |
|
Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, , , , and , in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2022 |
[DOI] |
Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, , , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024 |
[DOI] [URL] |
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks, , , , , , , , and , in: Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023 |
|
Applying Attention Based Models for Detecting Cognitive Processes and Mental Health Conditions, , , and , Idiap-RR-01-2022 |
|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 |