and automatic punctuation for 18 new languages.<\/li>\n<\/ul>\nAs a result, more than 200,000 users will benefit from Speech-to-Text technology for the first time, and more than 3 billion will receive more accurate and functional transcription.<\/p>\n
Support expansion<\/h2>\n
Since the first announcement of Speech-to-Text, Google has continuously expanded its range of supported languages \u200b\u200b(up to 127 in total) to provide high-quality speech recognition technology. Now 7 new languages \u200b\u200bwill be available to users: Burmese, Estonian, Uzbek, Punjabi, Albanian, Macedonian and Mongolian<\/p>\n
Sourcenext, the maker of the Pocketalk portable voice translator, is an organization that enjoys comprehensive Google Cloud Speech-to-Text language support.<\/p>\n
![\"\"](\"https:\/\/cloudfresh.com\/wp-content\/uploads\/2020\/03\/speech-to-text-new-languages.png\")
<\/span><\/p>\n“Google Cloud’s powerful Speech-to-Text capabilities made it possible for us to build our Pocketalk,” said Hajime Kawatake, COO of Technology Strategy, Sourcenext Corporation. “This has improved the quality of our product, as customers can receive highly accurate and reliable translations from anywhere in the world.”<\/p>\n
Advanced telephony model<\/h2>\n
In the spring of 2018, Google launched the Extended US English Telephony Transcription Model, which improved speech recognition and transcription for customers with imperfect phone and video call audio. As a result, the quality level increased by 62% compared to the base model and helped Contact Center AI transform the call center’s work.<\/p>\n
We are announcing support for three new languages \u200b\u200bin Speech-to-Text: English, Russian and Spanish (USA).<\/p>\n
![\"\"](\"https:\/\/cloudfresh.com\/wp-content\/uploads\/2020\/03\/speech-to-text-new-locales.png\")
<\/p>\n
One of the first to use this feature was Voximplant, a cloud platform for communication services and application developers with many corporate clients in Russia. They instantly realized the exceptional accuracy of the new model, as evidenced by the words of Alexey Aylarov, CEO of Voximplant:<\/p>\n
“We partnered with Google Cloud to upgrade our voice platform with Google AI technology. Because we often receive low-bandwidth phone network audio, advanced telephony models are game-changing, enabling more accurate conversations between people and virtual agents. We are excited about Google Cloud’s commitment to delivering high-quality models to even more users.”<\/p>\n
Speech adaptation<\/h2>\n
Speech adaptation allows users to tune powerful Google models in real-time. With the help of language adaptation, you can recognize names and product names. It is also possible to set the API to return information, which significantly improves the quality of speech recognition.<\/p>\n
![\"\"](\"https:\/\/cloudfresh.com\/wp-content\/uploads\/2020\/03\/speech-to-text-2.png\")
<\/span><\/p>\nGoogle is rolling out new technology that improves language adoption in 68 regions. This innovation will allow users to control in detail the influence of the speech model on the most critical terms. In addition, more popular “number classes” are being added in several new languages:<\/p>\n
![\"\"](\"https:\/\/cloudfresh.com\/wp-content\/uploads\/2020\/03\/speech-to-text.gif\")
<\/p>\n