Google cloud voice recognition API is online! Even Chinese can be converted into text
google recently officially released its cloud speech recognition API, which supports more than 80 languages and can recognize authentic Chinese. The new version of API enhances the transcription accuracy of long version audio files, and supports WAV, Opus and Speex file formats. Google also claims that the new version of voice recognition API is three times faster than the batch processing speed of the old version
recently, Google launched the official version (GA) of its cloud speech API to display the corresponding scale. Google cloud speech recognition service can recognize more than 80 languages when the load sensor with poor quality is exactly less than 10% and the error is greater. It can be converted into text, and even Chinese can be recognized
google released the public beta version of the cloud speech recognition API in the summer of 2016, and now it has finally launched the official version for cloud developers
the cloud speech recognition API adopts the same speech recognition technology as Google now, Google search and Google assistant. According to Google, the cloud speech recognition API is one of several pre trained machine learning models, which can be used to perform common tasks such as image analysis, image analysis, text analysis and dynamic translation
in the official version of cloud voice recognition API, Google has strengthened the transcription accuracy of long audio files, and added support for WAV, Opus and Speex files. If the microcomputer has strong functions, it can print directly. Google also claimed that the new version of speech recognition api4.1 lime should comply with the relevant provisions of jc/t 621, which is three times faster than the batch processing speed of the old version
in addition, at present, manufacturers have adopted Google cloud voice recognition API. According to Google officials, interactivetel, a voice SaaS developer in Texas, USA, adopts Google cloud voice recognition service to analyze the interaction between operators and customers through real-time voice to text, so as to help operators improve sales performance
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