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  2. Schwa deletion in Indo-Aryan languages - Wikipedia

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

    For example, the Sanskrit word "Rāma" (IPA:, राम) is pronounced "Rām" (IPA:, राम्) in Hindi. The schwa sound at the end of the word is deleted in Hindi. [4] However, in both cases, the word is written राम. The schwa is not deleted in ancient languages such as Sanskrit.

  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. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]

  5. 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.

  6. List of Indic loanwords in Indonesian - Wikipedia

    en.wikipedia.org/wiki/List_of_Indic_loanwords_in...

    The words are either directly borrowed from India or through the intermediary of the Old Javanese language. In the classical language of Java, Old Javanese, the number of Sanskrit loanwords is far greater.

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

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