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  2. Shrutlekhan-Rajbhasha - Wikipedia

    en.wikipedia.org/wiki/Shrutlekhan-Rajbhasha

    One drawback of this software is that if mixed EnglishHindi dictation is given, it can recognize Hindi words but can not recognize English words. Another variant of this software is Vachantar-Rajbhasha, which takes English sound as input, converts it to English text and then translates it to Hindi using MANTRA-Rajbhasha translation engine.

  3. Hinglish - Wikipedia

    en.wikipedia.org/wiki/Hinglish

    In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [9] Romanised Hindi is also used by some newspapers such as The Times of India.

  4. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    The text can now be read by a text-to-speech program in English, French, German and Italian. 16th stage (launched January 30, 2010) Haitian Creole; 17th stage (launched April 2010) Speech program launched in Hindi and Spanish. 18th stage (launched May 5, 2010)

  5. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service. Speech translation: Microsoft Translator is integrated into Microsoft Speech services which is an end-to-end REST based API that can be used to build applications, tools, or any solution requiring multi-languages ...

  6. eSpeak - Wikipedia

    en.wikipedia.org/wiki/ESpeak

    There are many languages (notably English) which do not have straightforward one-to-one rules between writing and pronunciation; therefore, the first step in text-to-speech generation has to be text-to-phoneme translation. input text is translated into pronunciation phonemes (e.g. input text xerox is translated into zi@r0ks for pronunciation).

  7. 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).

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