30 citations · 56 across the 12 of their papers we have counts for
15 papers · 1 filter
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…
Dual-Path Modeling for Long Recording Speech Separation in Meetings
Chenda Li, Zhuo Chen, Yi Luo +6
The continuous speech separation (CSS) is a task to separate the speech sources from a long, partially overlapped recording, which involves a varying number of speakers. A straight…
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording
Cong Han, Yi Luo, Chenda Li +8
Leveraging additional speaker information to facilitate speech separation has received increasing attention in recent years. Recent research includes extracting target speech by us…
Group Communication with Context Codec for Lightweight Source Separation
Yi Luo, Cong Han, Nima Mesgarani
Despite the recent progress on neural network architectures for speech separation, the balance between the model size, model complexity and model performance is still an important…
Ultra-Lightweight Speech Separation via Group Communication
Yi Luo, Cong Han, Nima Mesgarani
Model size and complexity remain the biggest challenges in the deployment of speech enhancement and separation systems on low-resource devices such as earphones and hearing aids. A…
Implicit Filter-and-sum Network for Multi-channel Speech Separation
Yi Luo, Nima Mesgarani
Various neural network architectures have been proposed in recent years for the task of multi-channel speech separation. Among them, the filter-and-sum network (FaSNet) performs en…