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Didispeech: A Large Scale Mandarin Speech Corpus

Tingwei Guo, Wen Cheng, Dongwei Jiang, Ne Luo, Ruixiong Zhang, Shuaijiang Zhao, Wubo Li, Gong Cheng, Wei Zou, Kun Han, Xiangang Li

202127 citationsDOI

Abstract

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/.

Topics & Concepts

Computer scienceMandarin ChineseSpeech corpusSpeech recognitionSpeech processingNatural language processingSpeech technologyVoice activity detectionSpeech synthesisArtificial intelligenceSpeech analyticsSampling (signal processing)LinguisticsComputer visionFilter (signal processing)PhilosophySpeech Recognition and SynthesisNatural Language Processing TechniquesTopic Modeling
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