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Google develops speech-to-speech translation system

IANS  |  San Francisco 

has announced its first direct speech-to-translation system called "Translatotron" that can convert verbal from one to another while maintaining the speaker's voice and tempo.

"Translatotron" is based on a which takes source spectrograms -- a visual representation of frequencies -- as input and generates spectrograms of the translated content in the target language, and Ron Weiss, at (AI) wrote in a blog post on Wednesday.

The model makes use of two other separately trained components -- a neural vocoder that converts output spectrograms to time-domain waveforms and a encoder that can be used to maintain the character of the source speaker's voice in the synthesised translated

For now, the results of Google's demonstration of the translation system lag behind a conventional cascade system, but the said it has "demonstrated the feasibility of the end-to-end direct speech-to-translation".

"By incorporating a encoder network, 'Translatotron' is also able to retain the original speaker's vocal characteristics in the translated speech, which makes the translated speech sound more natural and less jarring," Jia and Weiss said.

The company said that "Translatotron" is the first end-to-end model that can directly translate speech from one into another.

"We hope that this work can serve as a starting point for future research on end-to-end speech-to-speech translation systems," the blog-post noted.

Lately, has been working aggressively on its

Adding more languages to its real-time translation feature, earlier in 2018, the company introduced accents in Google Translate with a variety of languages in region-based pronunciations.

In February, Google extended the "Interpreter" mode on its to Home speakers and other third-party devices to help users have with compatible devices and translate them into 26 listed languages.



(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Thu, May 16 2019. 14:26 IST