Recent advances technology have dramatically increased production and consumption of digital media such as audio. The intrinsically time-based nature of audio, however, presents unique problems, in particular with navigation. Unfortunately, audio navigation interfaces do not differ widely from the decades-old tape recorder metaphors. In this paper, we discuss our current work in exploring audio...

An audio fingerprint is a content-based compact signature that summarizes an audio recording. Audio Fingerprinting technologies have recently attracted attention since they allow the monitoring of audio independently of its format and without the need of meta-data or watermark embedding. These technologies need to face channel robustness as well as system accuracy and scalability to succeed on ...

The novel approach of combining audio and symbolic features for music classification from audio enhanced previous audio-only based results in MIREX 2007. We extended the approach by including temporal audio features, enhancing the polyphonic audio to MIDI transcription system and including an extended set of symbolic features. Recent research in music genre classification hints at a glass ceili...

Automatic summarisation of spoken audio is a fairly new research pursuit, in large part due to the relative novelty of technology for accurately decoding audio into text. Techniques that account for the peculiarities and potential ambiguities of decoded audio (high error rates, lack of syntactic boundaries) appear promising for culling summary information from audio for content-based browsing a...

This paper presents a statistical approach to sound texture modeling based on a singular value analysis of spectral features or an eigenvector analysis of their similarity matrix. Using dimension reduction techniques we perform grouping of the signal into similar sounding audio segments that are recurrent in time. The method allows an automatic segmentation of audio signal into larger groups of...

Audio streaming services (e.g., Mixlr, Ximalaya, Lizhi and Facebook Live Audio) have become increasingly popular due to the wide use of smart phones. More and more people are enjoying live audio broadcasting while they are doing various kinds of activities. On the other hand, the data volume of live audio streams is also ever increasing. Searching and indexing these audio streams is still an im...

This paper is a very basic one, where one tries to explain how one can write a digital audio effect in a non-real time situation with a very general mathematical language such as MATLAB, and how such digital audio effects can be used in the real life. 1 What is a digital audio effect? The term « digital audio effects » has been used as an acronym for the COST action G6. So what is a digital aud...

We developed a unified framework to extract highlights from three sports: baseball, golf and soccer by detecting some of the common audio events that are directly indicative of highlights. We used MPEG-7 audio features and entropic prior Hidden Markov Models(HMM) as the audio features and classifier respectively to recognize these common audio events. Together with preand post-processing techni...

This audio quality measurement Application Note is geared towards describing the methods for measurement of key audio specifications. Each analysis technique described here in, can be applied to audio ADCs, DACs, Analog Mixers, or any signal within the audio band. Audio quality is typically gauged by three main components. They are Signal to Noise Ratio, Total Harmonic Distortion, and Frequency...

This paper examines the accuracy of audio-video based localization using multiple cameras and multi-microphones. Covariance mapping theory is used to determine the accuracy of audio and video based localization. Both modalities are compared in terms of their ability to provide accurate location estimates of a moving audio-visual source. Relatively, video is found to be significantly more accura...