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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. 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.

4. Speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 2025. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

5. Comparison of speech synthesizers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_speech...

   Name Online demo Available language(s) Available voices Programming language Operating system(s) 15.ai: Yes English (United States) 50+ Python: Any

6. 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).

7. 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.