mlsanityData to 14 Oct 2026

MuCodec: Ultra Low-Bitrate Music Codec

arXiv 2409.13216 ↗First posted 20 Sep 2024cs.SD eess.AScited by 9

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Abstract (arXiv)

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/.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Sep 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 4.

9 papers.

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  1. 2026UniSRCodec: Unified and Low-Bitrate Single Codebook Codec with Sub-Band Reconstruction
  2. 2024SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound
  3. 2025FlowDec: A flow-based full-band general audio codec with high perceptual quality
  4. 2024Gull: A Generative Multifunctional Audio Codec
  5. 2021SoundStream: An End-to-End Neural Audio Codec
  6. 2025QINCODEC: Neural Audio Compression with Implicit Neural Codebooks
  7. 2022High Fidelity Neural Audio Compression
  8. 2026Ultra-Low-Bitrate Mel-Spectrogram-based Neural Speech Coding with Flow-Matching-based Refinement and Vocoding-driven Reconstruction ↗