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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. 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.

  4. 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 31 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 ...

  5. Comparison of speech synthesizers - Wikipedia

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

    AT&T Natural Voices: AT&T Natural Voices ... Available voices Programming language Operating system(s) ... Festival Speech Synthesis System: Yes English (UK), English ...

  6. NeoSpeech - Wikipedia

    en.wikipedia.org/wiki/NeoSpeech

    NeoSpeech was a subsidiary of Korean company named Voiceware Co., Ltd. Voiceware was established in 2000. In January 2001 Voiceware released VoiceEz natural speech recognition technology, and VoiceCop speaker verification technology. [4] In September 2001 Voiceware released VoiceText its first American English voice, named Kate, in VoiceText ...

  7. 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.

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