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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [ 3 ]
Google is showing off Translatotron, a first-of-its-kind translation model that can directly convert speech from one language into another while maintaining a speaker's voice and cadence.
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.
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).
Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud. [8] [9] Google Chrome developed and has an available built in English Live Caption. [10] Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too. [11] [12] [13] [14]
The synthesis system was divided into a translator library which converted unrestricted English text into a standard set of phonetic codes and a narrator device which implemented a formant model of speech generation.. AmigaOS also featured a high-level "Speak Handler", which allowed command-line users to redirect text output to speech. Speech ...
With its widespread use in social media such as blogs, Facebook and X (formerly Twitter), the analysis of Hinglish using computers has become important in a number of natural language processing applications like machine translation (MT) and speech-to-speech translation. [31] [32]
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