Multimodal Speech Separation with Feedback Architecture

This thesis tackles the high computational cost, and output inconsistency of processing long audio sequences in multimodal speech separation. We introduce the Self-Feedback RE-Sepformer (SFRS), an architecture integrating an RNN-inspired incremental inference mechanism with RE-Sepformer backbone. SF...

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Bibliographic Details
Main Author: Qu, Yanren
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2025
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/102963