Mel-filterbanks are fixed, engineered audio features which emulate human perception and
have been used through the history of audio understanding up to today. However, their …

The textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval (MIR) …

Most of existing audio fingerprinting systems have limitations to be used for high-specific
audio retrieval at scale. In this work, we generate a low-dimensional representation from a …

Respiratory rate is a vital physiological signal that may be useful for a multitude of clinical
applications, especially if measured in the wild rather than controlled settings. In-the-wild …

We explore self-supervised models that can be potentially deployed on mobile devices to
learn general purpose audio representations. Specifically, we propose methods that exploit …

Besides various other privacy concerns with mobile devices, many people suspect their
smartphones to be secretly eavesdropping on them. In particular, a large number of reports …

Open Broadcast Media Audio from TV (OpenBMAT) is an open, annotated dataset for the
task of music detection that contains over 27 hours of TV broadcast audio from 4 countries …

The approximate nearest neighbor (ANN) search problem is fundamental to efficiently
serving many real-world machine learning applications. A number of techniques have been …

Audio fingerprinting methods can compress audio contents into compact signatures so that
we can save storage and reduce query time. This technology is widely used in many fields …

An ideal audio retrieval system efficiently and robustly recognizes a short query snippet from
an extensive database. However, the performance of well-known audio fingerprinting …