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15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media.Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak custom ...
Record a pronunciation in OGG format. Much of the advice at Wikipedia:WikiProject Spoken Wikipedia/Recording guidelines applies here (e.g. equalization and noise reduction), except that unlike a spoken article, a pronunciation recording should contain only the pronunciation of the word, and no English description or explanation. This allows it ...
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]
Speakers tend to pronounce the rhotic consonant as [ɹ], rather than an alveolar trill. Speakers of non-rhotic accents tend to mute the r when at end of a word or before a consonant. [5] Other pronunciation difficulties are related to spelling pronunciations of digraphs. The digraph sc represents /st͡s/, though speakers may substitute [s] or [sk].
Normally, pronunciation is given only for the subject of the article in its lead section. For non-English words and names, use the pronunciation key for the appropriate language. If a common English rendering of the non-English name exists (Venice, Nikita Khrushchev), its pronunciation, if necessary, should be indicated before the non-English one.
The Pronunciation Lexicon Specification (PLS) is a W3C Recommendation, which is designed to enable interoperable specification of pronunciation information for both speech recognition and speech synthesis engines within voice browsing applications. The language is intended to be easy to use by developers while supporting the accurate ...
It provides a set of symbols to represent the pronunciation of Standard German in Wikipedia articles, and example words that illustrate the sounds that correspond to them. Integrity must be maintained between the key and the transcriptions that link here; do not change any symbol or value without establishing consensus on the talk page first.
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.
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