2.1k citations · 3.2k across the 30 of their papers we have counts for
6 papers · 1 filter
High Fidelity Speech Enhancement with Band-split RNN
Jianwei Yu, Yi Luo, Hangting Chen +2
Despite the rapid progress in speech enhancement (SE) research, enhancing the quality of desired speech in environments with strong noise and interfering speakers remains challengi…
Music Source Separation with Band-split RNN
Yi Luo, Jianwei Yu
The performance of music source separation (MSS) models has been greatly improved in recent years thanks to the development of novel neural network architectures and training pipel…
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Ke Chen, Hao-Wen Dong, Yi Luo +4
Choral music separation refers to the task of extracting tracks of voice parts (e.g., soprano, alto, tenor, and bass) from mixed audio. The lack of datasets has impeded research on…
FRA-RIR: Fast Random Approximation of the Image-source Method
Yi Luo, Jianwei Yu
The training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in rea…
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems
Kai Li, Xiaolin Hu, Yi Luo
Most of the recent neural source separation systems rely on a masking-based pipeline where a set of multiplicative masks are estimated from and applied to a signal representation o…
On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems
Kai Li, Yi Luo
While the performance of offline neural speech separation systems has been greatly advanced by the recent development of novel neural network architectures, there is typically an i…