Zhenhua Ling

Achieving superior RIR reconstruction and speech quality at just 375 bps challenges the effectiveness of conventional audio codecs in immersive audio applications.

StreamWSR achieves high-quality speech super-resolution with zero-look-ahead streaming, all in a compact model under 10 million parameters.

Integrating semantic understanding with acoustic fidelity can dramatically elevate the accuracy of speech quality assessments, challenging the dominance of self-supervised learning models.

Dual time-frequency spectral representations can dramatically enhance the quality of degraded music recordings, outperforming traditional methods in both objective metrics and listener satisfaction.

PACodec slashes bitrate by 30% while preserving decoding quality, thanks to its innovative parallel quantization approach.

The J-lens reveals that language models operate with a surprisingly sparse causal structure, concentrating energy in specific pathways to predict future outputs.