SuperFormer: Enhanced Multi-Speaker Speech Separation Network Combining Channel and Spatial Adaptability

SuperFormer: Enhanced Multi-Speaker Speech Separation Network Combining Channel and Spatial Adaptability

Speech separation is a hot topic in multi-speaker speech recognition. The long-term autocorrelation of speech signal sequences is an essential task for speech separation. The keys are effective intra-autocorrelation learning for the speaker’s speech, modelling the local (intra-blocks) and global (in...

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Bibliographic Details
Main Authors: Yanji Jiang, Youli Qiu, Xueli Shen, Chuan Sun, Haitao Liu
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
multi-speaker separation
speech separation
transformer
speaker enhancement
adaptive network
Online Access:https://www.mdpi.com/2076-3417/12/15/7650

Internet

https://www.mdpi.com/2076-3417/12/15/7650

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