30 citations · 52 across the 10 of their papers we have counts for
15 papers
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…
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…
Rethinking the Separation Layers in Speech Separation Networks
Yi Luo, Zhuo Chen, Cong Han +3
Modules in all existing speech separation networks can be categorized into single-input-multi-output (SIMO) modules and single-input-single-output (SISO) modules. SIMO modules gene…
Distortion-controlled Training for End-to-end Reverberant Speech Separation with Auxiliary Autoencoding Loss
Yi Luo, Cong Han, Nima Mesgarani
The performance of speech enhancement and separation systems in anechoic environments has been significantly advanced with the recent progress in end-to-end neural network architec…