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  2. Retrieval-based Voice Conversion - Wikipedia

    en.wikipedia.org/wiki/Retrieval-Based_Voice...

    Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker. [1]

  3. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]

  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. OggConvert - Wikipedia

    en.wikipedia.org/wiki/OggConvert

    OggConvert is a free and open-source transcoder for digital audio and video files of various types into the free Ogg Vorbis audio format, and the Theora, VP8 and Dirac video formats. It supports Ogg, Matroska and WebM containers for output. It is developed by a single author, primarily for Linux. A number of community translations exist for the ...

  6. Audio converter - Wikipedia

    en.wikipedia.org/wiki/Audio_converter

    An audio converter is a software or hardware tool that converts audio files from one format to another. This process is often necessary when users encounter compatibility issues with different devices, applications, or platforms that support specific audio file formats.

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Tacotron 2 employed an encoder-decoder architecture with attention mechanisms to convert input text into mel-spectrograms, which were then converted to waveforms using a separate neural vocoder. When trained on smaller datasets, such as 2 hours of speech, the output quality degraded while still being able to maintain intelligible speech, and ...

  8. Audacity (audio editor) - Wikipedia

    en.wikipedia.org/wiki/Audacity_(audio_editor)

    From 2.3.2 on, a mod-script-pipe for driving Audacity from Python (can be enabled in Preferences). [27] 2.2 November 2, 2017 This version ports changes from Dark Audacity to Audacity, adding themes. [28] Additionally, MIDI playback is added. [64] Four user-selectable colorways for waveform display in audio tracks (version 2.2.1 on). [65] 2.1 ...

  9. Voice computing - Wikipedia

    en.wikipedia.org/wiki/Voice_computing

    The Amazon Echo, an example of a voice computer. Voice computing is the discipline that develops hardware or software to process voice inputs. [1]It spans many other fields including human-computer interaction, conversational computing, linguistics, natural language processing, automatic speech recognition, speech synthesis, audio engineering, digital signal processing, cloud computing, data ...