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  2. 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. [1]

  3. Gnuspeech - Wikipedia

    en.wikipedia.org/wiki/Gnuspeech

    Gnuspeech is an extensible text-to-speech computer software package that produces artificial speech output based on real-time articulatory speech synthesis by rules. That is, it converts text strings into phonetic descriptions, aided by a pronouncing dictionary, letter-to-sound rules, and rhythm and intonation models; transforms the phonetic descriptions into parameters for a low-level ...

  4. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    DEEP-VOICE [75] is a publicly available dataset intended for research purposes to develop systems to detect when speech has been generated with neural networks through a process called Retrieval-based Voice Conversion (RVC). Preliminary research showed numerous statistically-significant differences between features found in human speech and ...

  5. Articulatory synthesis - Wikipedia

    en.wikipedia.org/wiki/Articulatory_synthesis

    Articulatory synthesis refers to computational techniques for synthesizing speech based on models of the human vocal tract and the articulation processes occurring there. The shape of the vocal tract can be controlled in a number of ways which usually involves modifying the position of the speech articulators, such as the tongue , jaw , and lips.

  6. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    A stack of dilated casual convolutional layers used in WaveNet [1]. In September 2016, DeepMind proposed WaveNet, a deep generative model of raw audio waveforms, demonstrating that deep learning-based models are capable of modeling raw waveforms and generating speech from acoustic features like spectrograms or mel-spectrograms.

  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. Texas Instruments LPC Speech Chips - Wikipedia

    en.wikipedia.org/wiki/Texas_Instruments_LPC...

    The TMC0280/TMS5100 was the first self-contained LPC speech synthesizer IC ever made. It was designed for Texas Instruments by Larry Brantingham, Paul S. Breedlove, Richard H. Wiggins, [3] and Gene A. Frantz [4] and its silicon was laid out by Larry Brantingham. [2]