30 citations · 132 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
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…
Real-time binaural speech separation with preserved spatial cues
Cong Han, Yi Luo, Nima Mesgarani
Deep learning speech separation algorithms have achieved great success in improving the quality and intelligibility of separated speech from mixed audio. Most previous methods focu…