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  2. 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.

  3. RoboBraille - Wikipedia

    en.wikipedia.org/wiki/RoboBraille

    RoboBraille is a web and email service capable of converting documents into a range of accessible formats including Braille, mp3, e-books and Daisy. The service can furthermore be used to convert otherwise inaccessible documents such as scanned images and pdf files into more accessible formats. RoboBraille has been in operation since 2004 and ...

  4. 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.

  5. 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 ...

  6. FFmpeg - Wikipedia

    en.wikipedia.org/wiki/FFmpeg

    FFmpeg is a free and open-source software project consisting of a suite of libraries and programs for handling video, audio, and other multimedia files and streams. At its core is the command-line ffmpeg tool itself, designed for processing video and audio files.

  7. 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.

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