Benchmarking the First Realistic Dataset for Speech Separation

Benchmarking the First Realistic Dataset for Speech Separation

This paper presents a thorough benchmarking analysis of a recently introduced realistic dataset for speech separation tasks. The dataset contains audio mixtures that replicate real-life scenarios and is accompanied by ground truths, making it a valuable resource for researchers. Although the datase...

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Bibliographic Details
Main Authors: Rawad MELHEM, Oumayma AL DAKKAK, Assef JAFAR
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2025-07-01
Series:Archives of Acoustics
Subjects:
single-channel
speech separation
deep learning
corpus
datasets
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/4180
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