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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. Dr. Sbaitso - Wikipedia

    en.wikipedia.org/wiki/Dr._Sbaitso

    Dr. Sbaitso / ˈ s b eɪ t s oʊ / SBAY-tsoh / s ə ˈ b-/ / ˈ z b-/ is an artificial intelligence speech synthesis program released late in 1991 [1] by Creative Labs in Singapore for MS-DOS-based personal computers. The name is an acronym for "SoundBlaster Acting Intelligent Text-to-Speech Operator."

  4. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    Augusto Dueñas of the technology blog TheLinuxCode noted how traditional text-to-speech systems had long relied on stitching together recordings, producing monotone and robotic output that lacked the fluidity of human voices. In contrast, they characterized 15.ai's ability to replicate distinctive fictional voices, "from SpongeBob's energetic ...

  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 26 February 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. 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.

  7. Emotional prosody - Wikipedia

    en.wikipedia.org/wiki/Emotional_prosody

    Emotional states such as happiness, sadness, anger, and disgust can be determined solely based on the acoustic structure of a non-linguistic speech act. These acts can be grunts, sighs, exclamations, etc. There is some research that supports the notion that these non-linguistic acts are universal, eliciting the same assumptions even from ...

  8. 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 ...

  9. 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.

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