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The CMU Pronouncing Dictionary (also known as CMUdict) is an open-source pronouncing dictionary originally created by the Speech Group at Carnegie Mellon University (CMU) for use in speech recognition research. CMUdict provides a mapping orthographic/phonetic for English words in their North American pronunciations.
Text normalization is frequently used when converting text to speech. Numbers, dates, acronyms, and abbreviations are non-standard "words" that need to be pronounced differently depending on context. [2] For example: "$200" would be pronounced as "two hundred dollars" in English, but as "lua selau tālā" in Samoan. [3]
eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices. Benchmarks conducted by Sun in 2002 on Solaris showed that FreeTTS ran two to three times faster than Flite at the time.
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]
CoolSpeech is a proprietary text-to-speech program for Microsoft Windows platform, developed by ByteCool Software Inc, founded in February 2001. [1] CoolSpeech controls text-to-speech engines compliant with Microsoft Speech API to fetch and read aloud text from a variety of sources, including websites, email accounts, local text documents (.txt, .rtf, .htm/html), the Windows Clipboard ...
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.
Festival Speech Synthesis System: Yes English (UK), English (US), Spanish, Hindi, Croatian, Finnish, Polish, Welsh. ... Text is available under the Creative Commons ...
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