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DiDiSpeech: A Large Scale Mandarin Speech Corpus

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arxiv 2010.09275 v4 pith:5SE5Q7W5 submitted 2020-10-19 eess.AS

Tingwei Guo , Cheng Wen , Dongwei Jiang , Ne Luo , Ruixiong Zhang , Shuaijiang Zhao , Wubo Li , Cheng Gong
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Wei Zou Kun Han Xiangang Li
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classification eess.AS
keywords speechcorpusdatadidispeechmandarinresearchtasksacademic
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This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the corresponding texts. All speech data in the corpus is recorded in quiet environment and is suitable for various speech processing tasks, such as voice conversion, multi-speaker text-to-speech and automatic speech recognition. We conduct experiments with multiple speech tasks and evaluate the performance, showing that it is promising to use the corpus for both academic research and practical application. The corpus is available at https://outreach.didichuxing.com/research/opendata/.

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