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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. [ 23 ] [ 24 ] For some languages, Google Translate can synthesize speech from text, [ 25 ] and in certain pairs it is possible to highlight specific corresponding ...

3. Google's Translatotron can translate speech in the speaker's ...

   www.aol.com/news/2019-05-15-google-translatotron...

   The tool forgoes the usual step of translating speech to text and back to speech, which can often lead to errors along the way. Instead, the end-to-end technique directly translates a speaker's ...

4. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).

5. Speech Recognition & Synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

   Text-to-Speech may be used by apps such as Google Play Books for reading books aloud, Google Translate for reading aloud translations for the pronunciation of words, Google TalkBack, and other spoken feedback accessibility-based applications, as well as by third-party apps. Users must install voice data for each language.

6. Google reveals AR glasses that can translate speech in real ...

   www.aol.com/finance/google-reveals-ar-glasses...

   The demo showed how Google’s Translate can automatically listen to speech and translate it in real-time, displaying the translated text for the wearer to see and read with ease.

7. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   To develop its speech transcription technology, the company says it combined deep machine learning using millions of hours of audio recordings, which were analyzed to train the software and improve the transcription capabilities. The company says that it uses proprietary algorithms to scour the web for these usable audio segments.