July 21, 2022, 1:11 a.m. | Daiki Takeuchi, Yasunori Ohishi, Daisuke Niizumi, Noboru Harada, Kunio Kashino

cs.CL updates on arXiv.org arxiv.org

The amount of audio data available on public websites is growing rapidly, and
an efficient mechanism for accessing the desired data is necessary. We propose
a content-based audio retrieval method that can retrieve a target audio that is
similar to but slightly different from the query audio by introducing auxiliary
textual information which describes the difference between the query and target
audio. While the range of conventional content-based audio retrieval is limited
to audio that is similar to the query …

arxiv audio query retrieval text

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