International audienceThis paper introduces the first community-based Signal Separation Evaluation Campaign (SiSEC 2008), coordinated by the authors. This initiative aims to evaluate source separation systems following specifications agreed between the entrants. Four speech and music datasets were contributed, including synthetic mixtures as well as microphone recordings and professional mixtures. The source separation problem was split into four tasks, each evaluated via different objective performance criteria. We provide an overview of these datasets, tasks and criteria, summarize the results achieved by the submitted systems and discuss organization strategies for future campaigns
We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical so...
The Signal Separation Evaluation Campaign (SiSEC) is a large-scale regular event aimed at evaluating...
International audienceThis paper reports the organization and results for the 2018 community-based S...
International audienceThis paper introduces the first community-based Signal Separation Evaluation C...
International audienceThis paper introduces the audio part of the 2010 community-based Signal Separa...
This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campai...
International audienceThis paper summarizes the audio part of the 2011 community-based Signal Separa...
This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campai...
This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campai...
This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campai...
International audienceIn this paper, we report the 2015 community-based Signal Separation Evaluation...
International audienceIn this paper, we report the results of the 2016 community-based Signal Separa...
We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical so...
International audienceThe Signal Separation Evaluation Campaign (SiSEC) is a large-scale regular eve...
International audienceWe present the outcomes of three recent evaluation campaigns in the field of a...
We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical so...
The Signal Separation Evaluation Campaign (SiSEC) is a large-scale regular event aimed at evaluating...
International audienceThis paper reports the organization and results for the 2018 community-based S...
International audienceThis paper introduces the first community-based Signal Separation Evaluation C...
International audienceThis paper introduces the audio part of the 2010 community-based Signal Separa...
This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campai...
International audienceThis paper summarizes the audio part of the 2011 community-based Signal Separa...
This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campai...
This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campai...
This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campai...
International audienceIn this paper, we report the 2015 community-based Signal Separation Evaluation...
International audienceIn this paper, we report the results of the 2016 community-based Signal Separa...
We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical so...
International audienceThe Signal Separation Evaluation Campaign (SiSEC) is a large-scale regular eve...
International audienceWe present the outcomes of three recent evaluation campaigns in the field of a...
We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical so...
The Signal Separation Evaluation Campaign (SiSEC) is a large-scale regular event aimed at evaluating...
International audienceThis paper reports the organization and results for the 2018 community-based S...