The 2013 Signal Separation Evaluation Campaign

The 2013 Signal Separation Evaluation Campaign
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DOI:
10.1007/978-3-319-22482-4_45
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发表时间:
2013-09
期刊:
2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
影响因子:
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通讯作者:
Nobutaka Ono;Z. Rafii;Daichi Kitamura;N. Ito;A. Liutkus
Nobutaka Ono;Z. Rafii;Daichi Kitamura;N. Ito;A. Liutkus
中科院分区:
其他
文献类型:
--
作者:
Nobutaka Ono;Z. Rafii;Daichi Kitamura;N. Ito;A. Liutkus

文献摘要

相似文献

本文总结了2013年基于社区的信号分离评估活动(SISEC 2013)。提供了五个语音和音乐数据集,其中包括两个新的数据集:“有限区域内移动发言者的两声道噪声录音”和“混合语音的异步录音”。参与者处理了五个数据集中的一个或多个,并使用不同的客观绩效标准评估了每项任务的结果。我们概述了活动规范,如任务、数据集和评估标准。我们还总结了提交的系统的评估性能,并讨论了未来活动的组织策略。
This paper summarizes the 2013 community-based Signal Separation Evaluation Campaign (SiSEC 2013). Five speech and music datasets were contributed, including two new datasets: “Two-channel noisy recordings of a moving speaker within a limited area” and “Asynchronous recordings of speech mixtures”. The participants addressed one or more datasets out of five, and the results for each task were evaluated using different objective performance criteria. We overview the campaign specifications such as the tasks, datasets, and evaluation criteria. We also summarize the evaluated performance of the submitted systems, and discuss organization strategies for future campaigns.