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2. Shrutlekhan-Rajbhasha - Wikipedia

   en.wikipedia.org/wiki/Shrutlekhan-Rajbhasha

   Shrutlekhan-Rajbhasha is a Hindi language speech recognition software application developed by C-DAC in collaboration with IBM [1] [clarification needed].It takes Hindi sound as input and converts to Devanagari text as output.

3. Speech Recognition & Synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

   Speech Recognition & Synthesis, formerly known as Speech Services, [3] is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages.

4. Hindustani orthography - Wikipedia

   en.wikipedia.org/wiki/Hindustani_orthography

   Schwa deletion is computationally important because it is essential to building text-to-speech software for Hindi. [3] [4] As a result of schwa syncope, the correct Hindi pronunciation of many words differs from that expected from a literal rendering of Devanagari.

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 synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   This is an accepted version of this page This is the latest accepted revision, reviewed on 17 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 ...

7. Schwa deletion in Indo-Aryan languages - Wikipedia

   en.wikipedia.org/wiki/Schwa_deletion_in_Indo...

   Schwa deletion is computationally important because it is essential to building text-to-speech software for Hindi. [6] [7] As a result of schwa syncope, the Hindi pronunciation of many words differs from that expected from a literal Sanskrit-style reading of Devanagari.