Junkun Chen, Renjie Zheng, Xintong Li, Liang Huang, Hui Zhang, Zeyu Chen, Dianhai Yu, Yanjun Ma, Yuxin Huang, Tian Yuan, Xiaojie Chen, Xiaoguang Hu, and 1 more
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PaddleSpeech is an open-source all-in-one speech toolkit. It aims at facilitating the development and research of speech processing technologies by providing an easy-to-use commandline interface and a simple code structure. This paper describes the design philosophy and core architecture of PaddleSpeech to support several essential speech-to-text and text-to-speech tasks. PaddleSpeech achieves competitive or state-of-the-art performance on various speech datasets and implements the most popular methods. It also provides recipes and pretrained models to quickly reproduce the experimental results in this paper. PaddleSpeech is publicly avaiable at https://github.com/PaddlePaddle/ PaddleSpeech.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2205.12007")
get_code_for_paper("2205.12007")
have("2205.12007")
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