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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]
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.
For translations from Arabic, Hindi and Persian, the user can enter a Latin transliteration of the text and the text will be transliterated to the native script for these languages as the user is typing. 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
Hindustani does not distinguish between [v] and [w], specifically Hindi. These are distinct phonemes in English, but conditional allophones of the phoneme /ʋ/ in Hindustani (written व in Hindi or و in Urdu), meaning that contextual rules determine when it is pronounced as [v] and when it is pronounced as [w].
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.
Indic OCR refers to the process of converting text images written in Indic scripts into e-text using Optical character recognition (OCR) techniques. Broadly, it can also refer to the OCR systems of Brahmic scripts for languages of South Asia and Southeast Asia, not just the scripts of the Indian subcontinent, which are all written in an abugida-based writing system.
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Hindustani (standardized Hindi and standardized Urdu) has been written in several different scripts.Most Hindi texts are written in the Devanagari script, which is derived from the Brāhmī script of Ancient India.