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2. Shrutlekhan-Rajbhasha - Wikipedia

   en.wikipedia.org/wiki/Shrutlekhan-Rajbhasha

   One drawback of this software is that if mixed English–Hindi 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. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   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]

4. Microsoft Translator - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Translator

   Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

5. Speech Recognition & Synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

   It powers applications to read aloud (speak) the text on the screen, with support for many languages. 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 ...

6. Speech translation - Wikipedia

   en.wikipedia.org/wiki/Speech_translation

   Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.

7. Speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.