On Joint Dereverberation and Single Moving Source Separation with Online Source Steering
To solve the Blind Source Separation (BSS) problems in time-variant and highly reverberant environments, an online joint optimization algorithm for Weighted Prediction Error (WPE)-based dereverberation and Independent Vector Analysis (IVA)-based source separation (online WPE-IVA) has been reported. On the other hand, Online Source Steering (OSS) was recently introduced for filter updating in online IVA with low computational cost for a target-source tracking task where only one speaker is moving. Inspired by this work, we integrate OSS into online WPE-IVA, aiming to reduce the computational cost of updating separation filters. Experimental results show that our proposed method reduces computational costs while achieving comparable separation performance to conventional online WPE-IVA in target-source tracking tasks in highly reverberant environments.
Authors
- Yiting Zhang
- Shoji Makino (ORCID: https://orcid.org/0000-0003-1934-640X)
- Kaien Mo
- T. Ueda (ORCID: https://orcid.org/0009-0007-0158-6356)
- Yichen Yang (ORCID: https://orcid.org/0009-0007-4812-1900)
Institutions
- Waseda University (JP)
Publication Details
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1109/apsipaasc63619.2025.10848715
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00