The Sebass-DB: A Consolidated Public Data Base of Listening Test Results for Perceptual Evaluation of BSS Quality Measures

Kastner T, Herre J (2022)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings

Event location: Bamberg, DEU DE

ISBN: 9781665468671

DOI: 10.1109/IWAENC53105.2022.9914724

Abstract

For the development of new and improvement of existing perceptual quality measurement methods for Blind Audio Source Separation (BASS), a large and comprehensive body of subjective reference ratings is necessary, originating from well-conducted listening tests, that enable calibration and testing. To support the community in the advancement of perception-based quality measures for BASS, we published the SEBASS-DB, i.e. the Subjective Evaluation of Blind Audio Source Separation Data Base. The SEBASS-DB is a meta dataset containing the results from five high-quality MUSHRA based listening tests on the Basic Audio Quality of (blindly) separated audio source signals and can be freely used for non-commercial purposes. It contains a total of over 11,000 ratings from over 900 rated audio signals submitted to the audio source separation campaigns 2007, 2008 and 2018 as well as listening test results from three other publications by the authors. Major parts of the listening tests were conducted by expert listeners.

Authors with CRIS profile

Thorsten Kastner Lehrstuhl für Audiocodierung (AudioLabs) (Stiftungslehrstuhl) Jürgen Herre International Audio Laboratories Erlangen (AudioLabs)

How to cite

APA:

Kastner, T., & Herre, J. (2022). The Sebass-DB: A Consolidated Public Data Base of Listening Test Results for Perceptual Evaluation of BSS Quality Measures. In International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings. Bamberg, DEU, DE: Institute of Electrical and Electronics Engineers Inc..

MLA:

Kastner, Thorsten, and Jürgen Herre. "The Sebass-DB: A Consolidated Public Data Base of Listening Test Results for Perceptual Evaluation of BSS Quality Measures." Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, IWAENC 2022, Bamberg, DEU Institute of Electrical and Electronics Engineers Inc., 2022.

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