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  2. DECtalk - Wikipedia

    en.wikipedia.org/wiki/DECtalk

    DECtalk demo recording using the Perfect Paul and Uppity Ursula voices. DECtalk [4] was a speech synthesizer and text-to-speech technology developed by Digital Equipment Corporation in 1983, [1] based largely on the work of Dennis Klatt at MIT, whose source-filter algorithm was variously known as KlattTalk or MITalk.

  3. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Many mobile phone handsets, including feature phones and smartphones such as iPhones and BlackBerrys, have basic dial-by-voice features built in. Many third-party apps have implemented natural-language speech recognition support, including:

  4. CereProc - Wikipedia

    en.wikipedia.org/wiki/CereProc

    CereProc has 81 generally-available voices that speak 24 languages in a number of different regional accents: American English: Isabella, Katherine, Hannah, Megan, Adam, Nathan, Andy (child voice), Jordan (child voice), Carolyn, Sam (gender neutral voice)

  5. 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.

  6. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

  7. WaveNet - Wikipedia

    en.wikipedia.org/wiki/WaveNet

    WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind.The technique, outlined in a paper in September 2016, [1] is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech.

  8. Retrieval-based Voice Conversion - Wikipedia

    en.wikipedia.org/wiki/Retrieval-Based_Voice...

    Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.

  9. Microsoft Speech API - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Speech_API

    Microsoft Sam (Speech Articulation Module) is a commonly shipped SAPI 5 voice. In addition, Microsoft Office XP and Office 2003 installed L&H Michael and Michelle voices. The SAPI 5.1 SDK installs 2 more voices, Mike and Mary. Windows Vista includes Microsoft Anna which replaces Microsoft Sam and sounds more natural and intelligible.