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MuCodec: Ultra Low-Bitrate Music Codec
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Music codecs are a vital aspect of audio codec research, and ultra low-bitrate compression holds significant importance for music transmission and generation. Due to the complexity of music backgrounds and the richness of vocals, solely relying on modeling semantic or acoustic information cannot effectively reconstruct music with both vocals and backgrounds. To address this issue, we propose MuCodec, specifically targeting music compression and reconstruction tasks at ultra low bitrates. MuCodec employs MuEncoder to extract both acoustic and semantic features, discretizes them with RVQ, and obtains Mel-VAE features via flow-matching. The music is then reconstructed using a pre-trained MEL-VAE decoder and HiFi-GAN. MuCodec can reconstruct high-fidelity music at ultra low (0.35kbps) or high bitrates (1.35kbps), achieving the best results to date in both subjective and objective metrics. Code and Demo: https://xuyaoxun.github.io/MuCodec_demo/.
Forward citations
Cited by 1 Pith paper
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MeloCodec: Harnessing Melodic Priors for High-Fidelity Singing Voice Representation
MeloCodec quantizes chromagram-derived melody tokens and fuses them with acoustic tokens using a two-stage training scheme, improving pitch consistency and enabling controllable pitch shifting in a singing-voice codec.
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