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2. eSpeak - Wikipedia

   en.wikipedia.org/wiki/ESpeak

   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.

3. Translate (Apple) - Wikipedia

   en.wikipedia.org/wiki/Translate_(Apple)

   Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14. All translations are processed through the neural engine of the device ...

4. Babylon (software) - Wikipedia

   en.wikipedia.org/wiki/Babylon_(software)

   Babylon includes in-house proprietary dictionaries, as well as community-created dictionaries and glossaries. It is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. The program also uses a text-to-speech agent, so users hear the proper pronunciation of words and ...

5. Comparison of speech synthesizers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_speech...

   Software license; 15.ai: 15: 2020 2022 Apple PlainTalk: Apple Inc. 1984 2018 Bundled with Mac OS X: AT&T Natural Voices: AT&T Natural Voices? 2008 Proprietary: Polly: Amazon AWS 2016 2019 Proprietary: Cepstral: Cepstral 2000 2013 Proprietary: CereProc: CereProc 2006 2017, February Proprietary: eSpeak: Jonathan Duddington 2006, February 10 2022 ...

6. Comparison of machine translation applications - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_machine...

   The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

7. Whisper (speech recognition system) - Wikipedia

   en.wikipedia.org/wiki/Whisper_(speech...

   Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]