First Speech Separation Challenge

<p>The first international Speech Separation Challenge took place in 2006, with results disseminated at Interspeech in Pittsburgh and later in a special issue of Computer Speech and Language (volume 24, 2010). The main focus of the challenge was to compare algorithms and human listeners&nbsp;on the task of identifying words in sentences from one talker when mixed with similar utterances from another talker, using a single channel (i.e., operating monaurally). Development and test data was also provided for a stationary noise masking condition. For technical details and a summary of the outcome of the Challenge, see the article by Cooke, Hershey and Rennie (pp 1--15) of the special issue (available as cooke_csl2010.pdf in this dataset).&nbsp;</p> <p>The current dataset consisted of the following zip files:</p> <p>twotalker_dev.zip&nbsp;&nbsp; &nbsp;two-talker development set<br> twotalker_test.zip&nbsp;&nbsp; &nbsp;two-talker test set<br> 1.zip, 2.zip etc &nbsp; &nbsp; &nbsp; &nbsp; training data for each of 34 talkers (500 sentences each)<br> ssn_dev.zip &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;speech-shaped noise (SSN) development set<br> ssn_test.zip &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;SSN test set<br> <br> The Challenge was funded by&nbsp;the EU Network of Excellence PASCAL (Pattern Analysis, Statistical Modeling and Computational Learning)&nbsp;</p>