Supervised machine learning: A review of classification techniques
SB Kotsiantis, I Zaharakis, P Pintelas - … intelligence applications in …, 2007 - books.google.com
The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …
in terms of predictor features. The resulting classifier is then used to assign class labels to …
A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds
Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …
quest in engineering and computer science. In the pursuit of making computers sense their …
Audio surveillance of roads: A system for detecting anomalous sounds
In the last decades, several systems based on video analysis have been proposed for
automatically detecting accidents on roads to ensure a quick intervention of emergency …
automatically detecting accidents on roads to ensure a quick intervention of emergency …
Online playback system with community bias
J Boulter, T Beaupre, JP Veilleux - US Patent 7,454,509, 2008 - Google Patents
Int. Cl. G06F 15/16(2006.01) G06F 1 7/3 0(2006.01) A method for entertaining individuals
according to a commu G06F 11/00(2006-01) nity having similar tastes. Information derived …
according to a commu G06F 11/00(2006-01) nity having similar tastes. Information derived …
An overview of automatic speaker diarization systems
SE Tranter, DA Reynolds - IEEE Transactions on audio, speech …, 2006 - ieeexplore.ieee.org
Audio diarization is the process of annotating an input audio channel with information that
attributes (possibly overlapping) temporal regions of signal energy to their specific sources …
attributes (possibly overlapping) temporal regions of signal energy to their specific sources …
Content analysis for audio classification and segmentation
We present our study of audio content analysis for classification and segmentation, in which
an audio stream is segmented according to audio type or speaker identity. We propose a …
an audio stream is segmented according to audio type or speaker identity. We propose a …
Automatically extracting highlights for TV baseball programs
In today's fast-paced world, while the number of channels of television programming
available is increasing rapidly, the time available to watch them remains the same or is …
available is increasing rapidly, the time available to watch them remains the same or is …
Features for content-based audio retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …
as automatic speech recognition, music information retrieval, audio segmentation, and …
Automatic video classification: A survey of the literature
D Brezeale, DJ Cook - … on Systems, Man, and Cybernetics, Part …, 2008 - ieeexplore.ieee.org
There is much video available today. To help viewers find video of interest, work has begun
on methods of automatic video classification. In this paper, we survey the video classification …
on methods of automatic video classification. In this paper, we survey the video classification …
Multimedia content analysis-using both audio and visual clues
Multimedia content analysis refers to the computerized understanding of the semantic
meanings of a multimedia document, such as a video sequence with an accompanying …
meanings of a multimedia document, such as a video sequence with an accompanying …