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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 124 1 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 2 Multilingual and Multimodal Abuse Detection ... Sharon, Rini; Shah, Heet; Mukherjee, Debdoot. - : arXiv, 2022 BASE Show details 3 WavThruVec: Latent speech representation as intermediate features for neural speech synthesis ... Siuzdak, Hubert; Dura, Piotr; van Rijn, Pol. - : arXiv, 2022 BASE Show details 4 Fine-grained Noise Control for Multispeaker Speech Synthesis ... Nikitaras, Karolos; Vamvoukakis, Georgios; Ellinas, Nikolaos. - : arXiv, 2022 BASE Show details 5 Emotion Intensity and its Control for Emotional Voice Conversion ... Zhou, Kun; Sisman, Berrak; Rana, Rajib. - : arXiv, 2022 BASE Show details 6 Low-dimensional representation of infant and adult vocalization acoustics ... Pagliarini, Silvia; Schneider, Sara; Kello, Christopher T.. - : arXiv, 2022 BASE Show details 7 Chain-based Discriminative Autoencoders for Speech Recognition ... Lee, Hung-Shin; Huang, Pin-Tuan; Cheng, Yao-Fei; Wang, Hsin-Min. - : arXiv, 2022 Abstract: In our previous work, we proposed a discriminative autoencoder (DcAE) for speech recognition. DcAE combines two training schemes into one. First, since DcAE aims to learn encoder-decoder mappings, the squared error between the reconstructed speech and the input speech is minimized. Second, in the code layer, frame-based phonetic embeddings are obtained by minimizing the categorical cross-entropy between ground truth labels and predicted triphone-state scores. DcAE is developed based on the Kaldi toolkit by treating various TDNN models as encoders. In this paper, we further propose three new versions of DcAE. First, a new objective function that considers both categorical cross-entropy and mutual information between ground truth and predicted triphone-state sequences is used. The resulting DcAE is called a chain-based DcAE (c-DcAE). For application to robust speech recognition, we further extend c-DcAE to hierarchical and parallel structures, resulting in hc-DcAE and pc-DcAE. In these two models, both the ... : Submitted to Interspeech 2022 ... Keyword: Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Multimedia cs.MM; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2203.13687 https://arxiv.org/abs/2203.13687 BASE Hide details 8 Filter-based Discriminative Autoencoders for Children Speech Recognition ... Tai, Chiang-Lin; Lee, Hung-Shin; Tsao, Yu. - : arXiv, 2022 BASE Show details 9 Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling ... Peng, Puyuan; Harwath, David. - : arXiv, 2022 BASE Show details 10 Continual Learning for Monolingual End-to-End Automatic Speech Recognition ... Eeckt, Steven Vander; Van hamme, Hugo. - : arXiv, 2021 BASE Show details 11 Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ... Andreas, Jacob; Beguš, Gašper; Bronstein, Michael M.. - : arXiv, 2021 BASE Show details 12 Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin ... Durante, Zane; Mathur, Leena; Ye, Eric. - : arXiv, 2021 BASE Show details 13 Applying Phonological Features in Multilingual Text-To-Speech ... Zhang, Cong; Zeng, Huinan; Liu, Huang. - : arXiv, 2021 BASE Show details 14 English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System ... Cámbara, Guillermo; Peiró-Lilja, Alex; Farrús, Mireia. - : arXiv, 2021 BASE Show details 15 Cross-lingual Low Resource Speaker Adaptation Using Phonological Features ... Maniati, Georgia; Ellinas, Nikolaos; Markopoulos, Konstantinos. - : arXiv, 2021 BASE Show details 16 Arabic Speech Recognition by End-to-End, Modular Systems and Human ... Hussein, Amir; Watanabe, Shinji; Ali, Ahmed. - : arXiv, 2021 BASE Show details 17 The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates ... Schuller, Björn W.; Batliner, Anton; Bergler, Christian. - : arXiv, 2021 BASE Show details 18 Discrete representations in neural models of spoken language ... Higy, Bertrand; Gelderloos, Lieke; Alishahi, Afra. - : arXiv, 2021 BASE Show details 19 Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis ... Futamata, Kosuke; Park, Byeongseon; Yamamoto, Ryuichi. - : arXiv, 2021 BASE Show details 20 Learning De-identified Representations of Prosody from Raw Audio ... Weston, Jack; Lenain, Raphael; Meepegama, Udeepa. - : arXiv, 2021 BASE Show details Page: 1 2 3 4 5...7

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