Google Cloud Speech API Improves Longform Audio Recognition — Adds New Language Variants

Posted on August 25, 2017 by Jamie McGibbon in Cloud Computing with

Cloud Speech, Google’s neural network powered speech-to-text API, provides an easy way for developers to recognize and convert audio into text. The service also enables this conversion to happen in real time and in environments with background noise.

 

 

With the most recent updates to the service, Cloud Speech can now be used to transcribe files up to three hours long, a 44.4 percent increase from the previous maximum file length of 80 minutes. If an application should require support for files longer than three hours, users can apply for a quota extension via Google’s Cloud Support. However, these extension requests will be granted on a case-by-case basis. While this particular update likely will not be used by everyone, it can certainly be beneficial to those who may have to transcribe longer audio files, like companies that offer transcription services.

Additionally, Google added support for 30 additional language varieties to Cloud Speech, which already supported 89 different languages prior to the update. Given the reach of technology today, this can open up voice and audio services to more people around the world. A complete list of the languages supported by Google Cloud Speech is available on the service’s “Language Support” page.

Google also unveiled new word-level timestamps, which enable users to jump to a particular moment in an audio file where the associated text was spoken. Conversely, this feature can also be used to display the associated text while playing back the audio. According to Google, this was its most requested feature. By adding this functionality, developers can allow users to quickly find the information they are looking for, especially when it comes to longer audio transcriptions.

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Whether it is a voice-powered personal assistant or an automated phone menu, more devices and services are adding the ability to record and interpret audio and speech. Given this, it is important that services like Google Cloud Speech continue to iterate and improve in order to provide the best experience possible for both developers and users alike.

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