| 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: david.ryan.snyder@gmail.com) |
| Guoguo Chen |
| Daniel Povey |
| |
