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Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction, Antoine Vinel, Trinh-Minh-Tri Do and Thierry Artieres, in: Proceedings of International Conference on Document Analysis and Recognition, 2011
Superceptron Construction, R. Visscher, Emile Fiesler and Georg Thimm, in: Proceedings of the '96 SIPAR-Workshop on Parallel and Distributed Computing, Scientific and Parallel Computing Group, University of Geneva, Geneva, Switzerland, 1996
Fusion of Acoustic and Linguistic Information Using Supervised Autoencoder for Improved Emotion Recognition, Bogdan Vlasenko, RaviShankar Prasad and Mathew Magimai.-Doss, in: 2nd Multimodal Sentiment Analysis Challenge (MuSe '21), October 24, 2021, Virtual Event, China, 2021
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[DOI]
COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 2024
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Multilingual Deep Neural Network based Acoustic Modeling For Rapid Language Adaptation, Ngoc Thang Vu, David Imseng, Daniel Povey, Petr Motlicek, Tanja Schultz and Hervé Bourlard, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, pages 7639-7643, IEEE, 2014
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[DOI]
Efficient Transformer-Based Speech Recognition, Apoorv Vyas, École polytechnique fédérale de Lausanne, 2022
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[DOI]
ANALYZING UNCERTAINTIES IN SPEECH RECOGNITION USING DROPOUT, Apoorv Vyas, Pranay Dighe, Sibo Tong and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020
LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, Apoorv Vyas, Srikanth Madikeri and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
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Multi-Adversarial Learning for Cross-Lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019
Tracking Interacting Objects Using Intertwined Flows, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Tracking Interacting Objects Optimally Using Integer Programming, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: Proceedings of the European Conference on Computer Vision, pages 17-32, 2014
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New time-frequency derived cepstral coefficients for automatic speech recognition, Hubert Wassner and Gérard Chollet, in: Proceedings of the 8th European Signal Processing Conference (Eusipco'96), 1996
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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers, Seema Wazarkar, muskan garg, Muskaan Singh and Ondrej Bojar, in: International Conference on Language Resources and Evaluation (LREC 2022), 2022
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HMM Mixtures (HMM2) for Robust Speech Recognition, Katrin Weber, Ecole Polytechnique Federale de Lausanne, 2003
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Increasing Speech Recognition Noise Robustness with HMM2, Katrin Weber, Samy Bengio and Hervé Bourlard, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 02), 2002
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HMM2- Extraction of Formant Features and their Use for Robust ASR, Katrin Weber, Samy Bengio and Hervé Bourlard, in: European Conference on Speech Communication and Technology (Eurospeech 2001), 2001
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Speech Recognition Using Advanced HMM2 Features, Katrin Weber, Samy Bengio and Hervé Bourlard, in: Automatic Speech Recognition and Understanding Workshop, 2001
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