Publication detail
TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models
PENG, J. ASHIHARA, T. DELCROIX, M. OCHIAI, T. PLCHOT, O. ARAKI, S. ČERNOCKÝ, J.
Original Title
TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
Self-supervised learning (SSL) models have significantly advanced speech processing tasks, and several benchmarks have been pro- posed to validate their effectiveness. However, previous benchmarks have primarily focused on single-speaker scenarios, with less exploration of target-speaker tasks in noisy, multi-talker conditions-a more challenging yet practical case. In this paper, we introduce the Target-Speaker Speech Processing Universal Performance Benchmark (TS-SUPERB), which includes four widely recognized target-speaker processing tasks that require identifying the target speaker and extracting information from the speech mixture. In our benchmark, the speaker embedding extracted from enrollment speech is used as a clue to condition downstream models. The benchmark result reveals the importance of evaluating SSL models in target speaker scenarios, demonstrating that performance cannot be easily inferred from related single-speaker tasks. Moreover, by using a unified SSL-based target speech encoder, consisting of a speaker encoder and an extractor module, we also investigate joint optimization across TS tasks to leverage mutual information and demonstrate its effectiveness.
Keywords
Self-supervised learning, target-speaker speech process, speech recognition, speech enhancement, voice activity detection
Authors
PENG, J.; ASHIHARA, T.; DELCROIX, M.; OCHIAI, T.; PLCHOT, O.; ARAKI, S.; ČERNOCKÝ, J.
Released
6. 4. 2025
Publisher
IEEE Biometric Council
Location
Hyderabad
ISBN
979-8-3503-6874-1
Book
Proceedings of ICASSP 2025
Pages from
1
Pages to
5
Pages count
5
URL
BibTex
@inproceedings{BUT198051,
author="PENG, J. and ASHIHARA, T. and DELCROIX, M. and OCHIAI, T. and PLCHOT, O. and ARAKI, S. and ČERNOCKÝ, J.",
title="TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models",
booktitle="Proceedings of ICASSP 2025",
year="2025",
pages="1--5",
publisher="IEEE Biometric Council",
address="Hyderabad",
doi="10.1109/ICASSP49660.2025.10887574",
isbn="979-8-3503-6874-1",
url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10887574"
}Documents