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  2. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech ( TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic ...

  3. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    e. 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 (vocoder). Deep neural networks (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

  4. ElevenLabs - Wikipedia

    en.wikipedia.org/wiki/ElevenLabs

    ElevenLabs is primarily known for its browser-based, AI-assisted text-to-speech software, Speech Synthesis, which can produce lifelike speech by synthesizing vocal emotion and intonation. [ 10] The company states that its models are trained to interpret the context in the text, and adjust the intonation and pacing accordingly. [ 11]

  5. Dr. Sbaitso - Wikipedia

    en.wikipedia.org/wiki/Dr._Sbaitso

    Dr. Sbaitso / ˈsbeɪtsoʊ / SBAY-tsoh / səˈb -/ / ˈzb -/ 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 " S ound B laster A cting I ntelligent T ext-to- S peech O perator."

  6. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    15.ai is a non-commercial freeware artificial intelligence web application that generates natural emotive high-fidelity [a] text-to-speech voices from an assortment of fictional characters from a variety of media sources.

  7. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    It is necessary to collect clean and well-structured raw audio with the transcripted text of the original speech audio sentence. Second, the Text-To-Speech model must be trained using these data to build a synthetic audio generation model. Specifically, the transcribed text with the target speaker's voice is the input of the generation model.

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