| The goal of this corpus is to provide data for music/speech discrimination, | |
| speech/nonspeech detection, and voice activity detection. The corpus is | |
| divided into music, speech, and noise portions. In total there are | |
| approximately 109 hours of audio. The directories are partitioned by data | |
| source (i.e., the website we downloaded the content from). | |
| Each subdirectory contains a LICENSE file which connects the individual | |
| files in that directory to the governing license as well as attribution | |
| appropriate to the license type. For example, a music entry in a LICENSE | |
| file may contain the filename, title, artist, a url to the source, and a | |
| summary of the license. All files in this corpus fall under a Creative | |
| Commons license or are considered to be in the USA Public Domain. To | |
| broaded the use of this corpus, we've avoided including any content which | |
| forbids commercial use. Please refer to http://creativecommons.org/licenses/ | |
| for more information about the Creative Commons licenses. | |
| Most directories contain an ANNOTATIONS file which provide some useful | |
| metadata. For example, music is annotated for the precense or absence of | |
| vocals and by genre(s). The READMEs in each subdirectory describe the | |
| annotations in more detail. | |
| Please acknowledge this work if it contributes significantly to any | |
| publication: | |
| @misc{1510.08484, | |
| author = {David Snyder and Guoguo Chen and Daniel Povey}, | |
| title = {{MUSAN}: {A} {M}usic, {S}peech, and {N}oise {C}orpus}, | |
| year = {2015}, | |
| eprint = {1510.08484}, | |
| note = {arXiv:1510.08484v1} | |
| } | |
| This work was supported by the National Science Foundation Graduate Research | |
| Fellowship under Grant No. 1232825 and by Spoken Communications. | |
| David Snyder (email: [email protected]) | |
| Guoguo Chen | |
| Daniel Povey | |