Arvind2903/Accent-Classification-And-Conversion
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
This project helps anyone working with audio recordings to automatically identify and transform accents. You provide audio files, and it can tell you if a speaker has, for example, an Indian or British accent. It can also convert a speaker's accent in an audio clip to sound like a different accent. This tool is for audio analysts, content creators, or anyone needing to categorize or modify spoken accents in audio.
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Use this if you need to automatically classify the accent in audio recordings or convert a speaker's accent to a different target accent.
Not ideal if you need to work with highly nuanced accent differences not covered by the trained models, or if you require real-time accent conversion for live communication.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
May 07, 2024
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