Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Chunfeng"'
Autor:
Jiang, Ziyue, Liu, Jinglin, Ren, Yi, He, Jinzheng, Ye, Zhenhui, Ji, Shengpeng, Yang, Qian, Zhang, Chen, Wei, Pengfei, Wang, Chunfeng, Yin, Xiang, Ma, Zejun, Zhao, Zhou
Zero-shot text-to-speech (TTS) aims to synthesize voices with unseen speech prompts, which significantly reduces the data and computation requirements for voice cloning by skipping the fine-tuning process. However, the prompting mechanisms of zero-sh
Externí odkaz:
http://arxiv.org/abs/2307.07218
Autor:
Cong, Yahuan, Zhang, Haoyu, Lin, Haopeng, Liu, Shichao, Wang, Chunfeng, Ren, Yi, Yin, Xiang, Ma, Zejun
Cross-lingual timbre and style generalizable text-to-speech (TTS) aims to synthesize speech with a specific reference timbre or style that is never trained in the target language. It encounters the following challenges: 1) timbre and pronunciation ar
Externí odkaz:
http://arxiv.org/abs/2306.15304
Autor:
Jiang, Ziyue, Ren, Yi, Ye, Zhenhui, Liu, Jinglin, Zhang, Chen, Yang, Qian, Ji, Shengpeng, Huang, Rongjie, Wang, Chunfeng, Yin, Xiang, Ma, Zejun, Zhao, Zhou
Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. However, previous works usually encode speech into latent using audio codec
Externí odkaz:
http://arxiv.org/abs/2306.03509
Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the accuracy of semantic translation and ignores the speech style transfer from
Externí odkaz:
http://arxiv.org/abs/2305.17732
Autor:
Wang, Chunfeng, Huang, Peisong, Zou, Yuxiang, Zhang, Haoyu, Liu, Shichao, Yin, Xiang, Ma, Zejun
As a key component of automated speech recognition (ASR) and the front-end in text-to-speech (TTS), grapheme-to-phoneme (G2P) plays the role of converting letters to their corresponding pronunciations. Existing methods are either slow or poor in perf
Externí odkaz:
http://arxiv.org/abs/2303.01086
Autor:
Fang, Ming, Wang, Biao, Wan, Guanhua, Cao, Hui, Wang, Chunfeng, Cao, Peijiang, Han, Shun, Zhu, Deliang, Liu, Wenjun
Publikováno v:
In Chemical Engineering Journal 15 August 2024 494
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part D
Autor:
Xiang, Chaoqun, Yun, Tao, Li, Zhiwei, Lu, Xingyu, Yang, Chi, Li, Jing, Wang, Chunfeng, Guan, Yisheng
Publikováno v:
In Sensors and Actuators: A. Physical 1 November 2024 378
Publikováno v:
In European Journal of Oncology Nursing October 2024 72
Publikováno v:
In European Journal of Oncology Nursing June 2024 70