Musical genre classification of audio signals¶
Tzanetakis, & Cook. (2002). Musical genre classification of audio signals. IEEE.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Timbre
- In music information retrieval and audio engineering, timbre features (Mel-frequency cepstral coefficients, spectral centroid, spectral flux, zero-crossing rate) are among the primary descriptors used for instrument classification, audio source separation, and music recommendation
This sourceThe paper that set the standard timbral-texture features (MFCCs, spectral centroid, rolloff, flux, zero-crossing rate) for automatic genre classification and noted their use for similarity retrieval.
Supported in partVerified against the source
- In music information retrieval and audio engineering, timbre features (Mel-frequency cepstral coefficients, spectral centroid, spectral flux, zero-crossing rate) are among the primary descriptors used for instrument classification, audio source separation, and music recommendation
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Registry ID ref:007f049593e3 · see in the full table