2010 International Conference on Audio, Language and Image Processing 2010
DOI: 10.1109/icalip.2010.5685066
|View full text |Cite
|
Sign up to set email alerts
|

Audio similarity measure based on Renyi's quadratic entropy

Abstract: Considering noise interference often exists in audio processing, it is not robust enough to calculate audio similarity by using distance measure directly. In this paper, basing on Renyi's quadratic entropy a novel scheme for audio similarity measure is proposed . In our work, we extract Mel Frequency Cepstral Coefficients (MFCCs) to represent each audio, and then calculate the similarity based on the entropy of audio samples by probability density function (pdf) of MFCCs which can be estimated by Parzen window… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…In this subsection, we describe three typical metrics for measuring the similarity between two recorded sounds: the Euclidean distance, cross-correlation, and cosine similarity [26]. We evaluated our method using these metrics.…”
Section: Sound Similaritymentioning
confidence: 99%
“…In this subsection, we describe three typical metrics for measuring the similarity between two recorded sounds: the Euclidean distance, cross-correlation, and cosine similarity [26]. We evaluated our method using these metrics.…”
Section: Sound Similaritymentioning
confidence: 99%