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  2. Retrieval-based Voice Conversion - Wikipedia

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

    This real-time capability marks a significant advancement over previous AI voice conversion technologies, such as So-vits SVC. Its speed and accuracy have led many to note that its generated voices sound near-indistinguishable from "real life", provided that sufficient computational specifications and resources (e.g., a powerful GPU and ample ...

  3. 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 25 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 ...

  4. 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.

  5. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    Speech synthesis includes text-to-speech, which aims to transform the text into acceptable and natural speech in real-time, [33] making the speech sound in line with the text input, using the rules of linguistic description of the text. A classical system of this type consists of three modules: a text analysis model, an acoustic model, and a ...

  6. 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]

  7. Comparison of speech synthesizers - Wikipedia

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

    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, April 3 GPLv3+ Festival Speech Synthesis System: CSTR? 2014, December MIT-like license: FreeTTS ...

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