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Wav files for Audio Moment Retrieval (Part 1)

<p>This page includes wav files of three datasets used in&nbsp; <a href="https://h-munakata.github.io/Language-based-Audio-Moment-Retrieval/">Language-based audio moment retrieval</a> [1].</p> <ul> <li>Clotho-Moment</li> <li>UnAV100-subset</li> <li>TUT Sound Events 2017</li> </ul> <p>Please download all parts (from Part 1 to Part 4).</p> <ol> <li><a href="../records/13836117">https://zenodo.org/records/13836117</a></li> <li><a href="../records/13836248">https://zenodo.org/records/13836248</a></li> <li><a href="../records/13836250">https://zenodo.org/records/13836250</a></li> <li><a href="../records/13836252">https://zenodo.org/records/13836252</a></li> <li><a href="../records/13836931">https://zenodo.org/records/13836931</a></li> </ol> <p>[1] H. Munakata, T. Nishimura, S. Nakada, T. Komatsu, "Language-based Audio Moment Retrieval", 2024, under review.</p> <h2>How to Use</h2> <p>Unzip the file with the following commands<br>Clotho-moment:&nbsp;</p> <pre><code>for file in clotho-moment_wav.tar.part-*.gz; do gunzip "$file"; done clotho-moment_wav.tar.part-* &gt; clotho-moment_wav.tar tar -xvf clotho-moment_wav.tar </code></pre> <p><br>UnAV100-subset, TUT Sound Events 2017:&nbsp;</p> <pre><code>tar -xvf tut2017_wav.tar.gz tar -xvf unav100-subset_wav.tar.gz</code></pre> <p>&nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0