Zobrazeno 1 - 10
of 3 846
pro vyhledávání: '"A. Korin"'
Autor:
Sharon Goldman, MPH, Ari M. Lipsky, MD, Irina Radimislensky, BSc, Adi Givon, BSc, Ofer Almog, MD, Avi Benov, MD, Israel Trauma Group, Eldad Katorza, MD, MSC, MBA, H. Bahouth, A. Bar, A. Braslavsky, D. Czeiger, D. Fadeev, A. L. Goldstein, I. Grevtsev, G. Hirschhorn, I. Jeroukhimov, A. Kedar, Y. Klein, A. Korin, B. Levit, I. Schrier, A. D. Schwarz, W. Shomar, D. Soffer, M. Weiss, O. Yaslowitz, I. Zoarets
Publikováno v:
Annals of Surgery Open, Vol 5, Iss 3, p e481 (2024)
Background:. On Saturday, October 7th, approximately 3000 Hamas-led terrorists infiltrated Israel’s southern border and attacked civilians and soldiers. Terrorists murdered close to 1200 people, abducted hundreds, and injured thousands. This surpri
Externí odkaz:
https://doaj.org/article/a39c7c039d26423982ba693addf93edc
Emotion recognition from speech and music shares similarities due to their acoustic overlap, which has led to interest in transferring knowledge between these domains. However, the shared acoustic cues between speech and music, particularly those enc
Externí odkaz:
http://arxiv.org/abs/2409.17899
Utilizing Self-Supervised Learning (SSL) models for Speech Emotion Recognition (SER) has proven effective, yet limited research has explored cross-lingual scenarios. This study presents a comparative analysis between human performance and SSL models,
Externí odkaz:
http://arxiv.org/abs/2409.16920
Autor:
Sun, Siqi, Richmond, Korin
Recent work has shown the feasibility and benefit of bootstrapping an integrated sequence-to-sequence (Seq2Seq) linguistic frontend from a traditional pipeline-based frontend for text-to-speech (TTS). To overcome the fixed lexical coverage of bootstr
Externí odkaz:
http://arxiv.org/abs/2409.09891
While recent Zero-Shot Text-to-Speech (ZS-TTS) models have achieved high naturalness and speaker similarity, they fall short in accent fidelity and control. To address this issue, we propose zero-shot accent generation that unifies Foreign Accent Con
Externí odkaz:
http://arxiv.org/abs/2409.09098
Autor:
Gong, Cheng, Cooper, Erica, Wang, Xin, Qiang, Chunyu, Geng, Mengzhe, Wells, Dan, Wang, Longbiao, Dang, Jianwu, Tessier, Marc, Pine, Aidan, Richmond, Korin, Yamagishi, Junichi
Self-supervised learning (SSL) representations from massively multilingual models offer a promising solution for low-resource language speech tasks. Despite advancements, language adaptation in TTS systems remains an open problem. This paper explores
Externí odkaz:
http://arxiv.org/abs/2406.08911
Autor:
Gong, Cheng, Wang, Xin, Cooper, Erica, Wells, Dan, Wang, Longbiao, Dang, Jianwu, Richmond, Korin, Yamagishi, Junichi
Neural text-to-speech (TTS) has achieved human-like synthetic speech for single-speaker, single-language synthesis. Multilingual TTS systems are limited to resource-rich languages due to the lack of large paired text and studio-quality audio data. TT
Externí odkaz:
http://arxiv.org/abs/2312.14398
The blood protein Von Willebrand Factor (VWF) is critical in facilitating arterial thrombosis. At pathologically high shear rates the protein unfolds and binds to the arterial wall, enabling the rapid deposition of platelets from the blood. We presen
Externí odkaz:
http://arxiv.org/abs/2311.14413
For an undirected unweighted graph G = (V, E) with n vertices and m edges, let d(u, v) denote the distance from u in V to v in V in G. An (alpha, beta)-stretch approximate distance oracle (ADO) for G is a data structure that, given u, v in V, returns
Externí odkaz:
http://arxiv.org/abs/2310.12239
Autor:
Zhong, Jinzuomu, Li, Yang, Huang, Hui, Richmond, Korin, Liu, Jie, Su, Zhiba, Guo, Jing, Tang, Benlai, Zhu, Fengjie
In expressive and controllable Text-to-Speech (TTS), explicit prosodic features significantly improve the naturalness and controllability of synthesised speech. However, manual prosody annotation is labor-intensive and inconsistent. To address this i
Externí odkaz:
http://arxiv.org/abs/2309.05423