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This is the pronunciation key for IPA transcriptions of Telugu on Wikipedia. It provides a set of symbols to represent the pronunciation of Telugu in Wikipedia articles, and example words that illustrate the sounds that correspond to them.
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]
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.
Telangana Telugu, (Telangana slang or Telangana yaasa) often referred to as Hyderabadi Telugu (Telugu: హైదరాబాదీ తెలుగు) is a dialect of the Telugu language. It has its own history, spoken mostly in the Indian state of Telangana . [ 2 ]
The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.
Telugu script (Telugu: తెలుగు లిపి, romanized: Telugu lipi), an abugida from the Brahmic family of scripts, is used to write the Telugu language, a Dravidian language spoken in the Indian states of Andhra Pradesh and Telangana as well as several other neighbouring states.
Every conversation involves turn-taking, which means that whenever someone wants to speak and hears a pause, they do so. Pauses are commonly used to indicate that someone's turn has ended, which can create confusion when someone has not finished a thought but has paused to form a thought; in order to prevent this confusion, they will use a filler word such as um, er, or uh.
A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. [1] The reverse process is speech recognition. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database.