Work

Speaker Separation Using Speaker Inventories and Estimated Speech

Year: 2020

Type: article

Abstract: We propose speaker separation using speaker inventories and estimated speech (SSUSIES), a framework leveraging speaker profiles and estimated speech for speaker separation. SSUSIES contains two methods, speaker separation using speaker inventories (SSUSI) and speaker separation using estimated speech (SSUES). SSUSI performs speaker separation with the help of speaker inventory. By combining the advantages of permutation invariant training (PIT) and speech extraction, SSUSI significantly outperforms conventional approaches. SSUES is a widely applicable technique that can substantially improve speaker separation performance using the output of first-pass separation. We evaluate the models on both speaker separation and speech recognition metrics.

Source: IEEE/ACM Transactions on Audio Speech and Language Processing

DOI: 10.1109/taslp.2020.3045556

Authors: Peidong Wang, Zhuo Chen, DeLiang Wang, Jinyu Li, Yifan Gong

Institutions: The Ohio State University, Microsoft (United States)

Language: English

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Microsoft, Ohio State University

OpenAlex ID: W3116025434

FWCI: 1.355

Cites: 40

Cited by: 11

Related to: 10