An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

In this paper, we present Waveprint, a novel method for audio identification. Waveprint uses
a combination of computer-vision techniques and large-scale data-stream processing …

Music radio data is currently underutilised in radio program management. Software tools that
listen to and analyse music airplay are in many markets nonexistent, limited, or unaffordable …

Digitalization of content is both a blessing and a curse. While it allows for efficient
transmission and consumption, the ease of copying and sharing digital content has resulted …

Audio fingerprint techniques should be robust to a variety of distortions due to noisy
transmission channels or specific sound processing. Although most of nowadays techniques …

This study proposes an audio copy detection system that is robust to various attacks. These
include the severe pitch shift and tempo change attacks which existing systems fail to detect …

The growth of music resources on personal devices and Internet radio has increased the
need for music recommendations. In this paper, aiming at providing an efficient and general …

Seismic facies analysis plays an important role in seismic stratigraphy. Seismic attributes
have been widely applied to seismic facies analysis. One of the most important steps is to …

This research paper presents a novel audio fingerprinting system for Automatic Content
Recognition (ACR). By using signal processing techniques and statistical transformations …

Audio perceptual hashing is a digest of audio contents, which is independent of content
preserving manipulations, such as MP3 compression, amplitude scaling, noise addition, etc …