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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.
The final audio file is generated, including the synthetic simulation audio in a waveform format, creating speech audio in the voice of many speakers, even those not in training. The first breakthrough in this regard was introduced by WaveNet , [ 34 ] a neural network for generating raw audio waveforms capable of emulating the characteristics ...
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.
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.
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
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Ogg, a multimedia container file format, in computing Ogg Vorbis , the Vorbis free software/open source audio codec, commonly used with the Ogg container Oxoguanine glycosylase , a DNA glycosylase enzyme
The tattooed corpse of a woman was found bizarrely stuffed in a refrigerator dumped in some New Jersey woods — and cops say they need the public’s help identifying her.
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