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  2. CoolSpeech - Wikipedia

    en.wikipedia.org/wiki/CoolSpeech

    CoolSpeech is a proprietary text-to-speech program for Microsoft Windows platform, developed by ByteCool Software Inc, founded in February 2001. [1] CoolSpeech controls text-to-speech engines compliant with Microsoft Speech API to fetch and read aloud text from a variety of sources, including websites, email accounts, local text documents (.txt, .rtf, .htm/html), the Windows Clipboard ...

  3. Speechify - Wikipedia

    en.wikipedia.org/wiki/Speechify

    Speechify is a mobile, chrome extension and desktop app that reads text aloud using a computer-generated text to speech voice. [1] [2] [3]The app also uses optical character recognition technology to turn physical books or printed text into audio which can be played in your own voice or in that of a celebrity.

  4. List of audio conversion software - Wikipedia

    en.wikipedia.org/wiki/List_of_audio_conversion...

    An audio conversion app (also known as an audio converter) transcodes one audio file format into another; for example, from FLAC into MP3. It may allow selection of encoding parameters for each of the output file to optimize its quality and size.

  5. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.

  6. Audio converter - Wikipedia

    en.wikipedia.org/wiki/Audio_converter

    M4A (MPEG-4 Audio): A compressed format often used with Apple devices, similar to MP3 but potentially offering higher quality at the same bitrate. FLAC (Free Lossless Audio Codec): A lossless compression format that maintains the original audio quality but creates files larger than MP3s. OGG Vorbis: An open-source, lossless compression format ...

  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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