Corpus ID: 61245338

Content-Based Search, and Retrieval of Audio

@inproceedings{Wold1996ContentBasedSA,
  title={Content-Based Search, and Retrieval of Audio},
  author={E. Wold and Thorn Blum and Douglas Keislar and James Wheaton},
  year={1996}
}
Many audio and multimedia applications would benefit from the ability to classify and search for audio based on its characteristics. The audio analysis, search, and classification engine described here reduces sounds to perceptual and acoustical features. This lets users search or retrieve sounds by any one feature or a combination of them, by specifying previously learned classes based on these features, or by selecting or entering reference sounds and asking the engine to retrieve similar or… Expand
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References

SHOWING 1-6 OF 6 REFERENCES
Automatic indexing of a sound database using self-organizing neural nets
One of the main problems in sound synthesis is that the composer's idea or concept of a sound does not necessarily correspond directly to the physical parameters of synthesis algorithms. In regard toExpand
Video and Image Processing in Multimedia Systems
TLDR
This chapter discusses image and Video Indexing and Retrieval techniques for Multimedia Compression, and some of the techniques used in this chapter were developed in the second part of this book. Expand
Toward an Intelligent Editor of Digital Audio: Signal Processing Methods
TLDR
Signal processing methods that have been developed for use in an automatic music analysis system are described and sample results of some promising strategies for accomplishing these goals are presented. Expand
Aspects of tone sensation : a psychophysical study
TLDR
One of the books you can enjoy now is aspects of tone sensation a psychophysical study here. Expand