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  2. 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.

  3. Microsoft text-to-speech voices - Wikipedia

    en.wikipedia.org/.../Microsoft_text-to-speech_voices

    In 2010, Microsoft released the newer Speech Platform compatible voices for Speech Recognition and Text-to-Speech for use with client and server applications. These voices are available in 26 languages [3] and can be installed on Windows client and server operating systems. Speech Platform voices, unlike SAPI 5 voices, are female-only; no male ...

  4. 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.

  5. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    This is an accepted version of this page This is the latest accepted revision, reviewed on 1 January 2025. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

  6. Comparison of speech synthesizers - Wikipedia

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

    Name Creator(s) First public release date Latest stable version Software license; 15.ai: 15 2020 2022 Apple PlainTalk: Apple Inc. 1984 2018 Bundled with Mac OS X: AT&T Natural Voices

  7. MBROLA - Wikipedia

    en.wikipedia.org/wiki/MBROLA

    MBROLA is speech synthesis software as a worldwide collaborative project. The MBROLA project web page provides diphone databases for many [1] spoken languages.. The MBROLA software is not a complete speech synthesis system for all those languages; the text must first be transformed into phoneme and prosodic information in MBROLA's format, and separate software (e.g. eSpeakNG) is necessary.

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  9. CereProc - Wikipedia

    en.wikipedia.org/wiki/CereProc

    DSP often makes recorded speech sound less natural. CereProc's parametric voices produce speech synthesis based on statistical modelling methodologies. In this system, the frequency spectrum (vocal tract), fundamental frequency (vocal source), and duration of speech are modelled simultaneously. Speech waveforms are generated from these ...

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