Speech recognition dialect problem?

    With the progress of data processing technology and the continuous development of mobile Internet, computer technology has been widely used in various fields of society, resulting in a large amount of data, and voice data has attracted more and more attention. In the past two decades, speech recognition technology has made remarkable progress and began to enter the market from the laboratory. Speech recognition technology is also closely related to the data acquisition and labeling industry.

    With the continuous development of artificial intelligence, AI algorithm has higher and higher requirements for training data dimension and sample complexity. As a professional basic data service provider of artificial intelligence, it has been deeply engaged in the field of data acquisition and annotation for many years, and has built its own data annotation platform, which can provide image data annotation, voice data annotation, semantic segmentation, instance segmentation, 3D point cloud annotation, text data annotation, video data annotation, sound conversion, voice conversion, voice interaction and voice synthesis, With the support of labeling projects such as intelligent voice, the existing database exceeds 500t and collects a variety of dialect data sets, which can provide customized intelligent solutions for enterprises and promote the continuous development of the field of artificial intelligence.

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