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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 Hits 1 – 20 of 98 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; Klapsas, Konstantinos; Markopoulos, Konstantinos; Raptis, Spyros; Sung, June Sig; Jho, Gunu; Chalamandaris, Aimilios; Tsiakoulis, Pirros. - : arXiv, 2022 Abstract: A text-to-speech (TTS) model typically factorizes speech attributes such as content, speaker and prosody into disentangled representations.Recent works aim to additionally model the acoustic conditions explicitly, in order to disentangle the primary speech factors, i.e. linguistic content, prosody and timbre from any residual factors, such as recording conditions and background noise.This paper proposes unsupervised, interpretable and fine-grained noise and prosody modeling. We incorporate adversarial training, representation bottleneck and utterance-to-frame modeling in order to learn frame-level noise representations. To the same end, we perform fine-grained prosody modeling via a Fully Hierarchical Variational AutoEncoder (FVAE) which additionally results in more expressive speech synthesis. ... : submitted to Interspeech 2022 ... Keyword: 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; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.2204.05070 https://arxiv.org/abs/2204.05070 BASE Hide 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. - : arXiv, 2022 BASE Show 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 Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ... Andreas, Jacob; Beguš, Gašper; Bronstein, Michael M.. - : arXiv, 2021 BASE Show details 11 Applying Phonological Features in Multilingual Text-To-Speech ... Zhang, Cong; Zeng, Huinan; Liu, Huang. - : arXiv, 2021 BASE Show details 12 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 13 Cross-lingual Low Resource Speaker Adaptation Using Phonological Features ... Maniati, Georgia; Ellinas, Nikolaos; Markopoulos, Konstantinos. - : arXiv, 2021 BASE Show details 14 Arabic Speech Recognition by End-to-End, Modular Systems and Human ... Hussein, Amir; Watanabe, Shinji; Ali, Ahmed. - : arXiv, 2021 BASE Show details 15 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 16 Discrete representations in neural models of spoken language ... Higy, Bertrand; Gelderloos, Lieke; Alishahi, Afra. - : arXiv, 2021 BASE Show details 17 Learning De-identified Representations of Prosody from Raw Audio ... Weston, Jack; Lenain, Raphael; Meepegama, Udeepa. - : arXiv, 2021 BASE Show details 18 Language model fusion for streaming end to end speech recognition ... Cabrera, Rodrigo; Liu, Xiaofeng; Ghodsi, Mohammadreza. - : arXiv, 2021 BASE Show details 19 Detecting cognitive decline using speech only: The ADReSSo Challenge ... Luz, Saturnino; Haider, Fasih; de la Fuente, Sofia. - : arXiv, 2021 BASE Show details 20 Automatic audiovisual synchronisation for ultrasound tongue imaging ... Eshky, Aciel; Cleland, Joanne; Ribeiro, Manuel Sam. - : arXiv, 2021 BASE Show details Page: 1 2 3 4 5

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