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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. OpenAI debuts Whisper API for speech-to-text transcription ...

    techcrunch.com/2023/03/01/openai-debuts-whisper...

    It takes files in a variety of formats, including M4A, MP3, MP4, MPEG, MPGA, WAV and WEBM. ... If OpenAI can break into the speech-to-text market in a major way, it could be quite profitable for ...

  4. OpenAI says it can clone a voice from just 15 seconds of audio

    www.engadget.com/openai-says-it-can-clone-a...

    Andrew Neel / Unsplash. OpenAI just announced that it recently conducted a small-scale preview of a new tool called Voice Engine. This is a voice cloning technology that can mimic any speaker by ...

  5. Microsoft's VALL-E AI can mimic any voice from a short audio ...

    www.engadget.com/microsofts-vall-e-ai-can...

    HJBC via Getty Images. Microsoft has shown off its latest research in text-to-speech AI with a model called VALL-E that can simulate someone's voice from just a three-second audio sample, Ars ...

  6. Microsoft text-to-speech voices - Wikipedia

    en.wikipedia.org/wiki/Microsoft_text-to-speech...

    The Microsoft text-to-speech voices are speech synthesizers provided for use with applications that use the Microsoft Speech API (SAPI) or the Microsoft Speech Server Platform. There are client, server, and mobile versions of Microsoft text-to-speech voices. Client voices are shipped with Windows operating systems; server voices are available ...

  7. 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.

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