Paper Info
Title
DCT based multiple hashing technique for robust audio fingerprinting
Abstract
Audio fingerprinting techniques should successfully perform content-based audio identification even when the audio files are slightly or seriously distorted. In this paper, we present a novel audio fingerprinting technique based on combining fingerprint matching results for multiple hash tables in order to improve the robustness of hashing. Multiple hash tables are built based on the discrete cosine transform (DCT) which is applied to the time sequence of energies in each sub-band. Experimental results show that the recognition errors are significantly reduced compared with Philips Robust Hash (PRH) [1] under various distortions.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959520
ICASSP
Keywords
Field
DocType
audio identification,philips robust hash,recognition error,novel audio fingerprinting technique,audio fingerprinting technique,multiple hash table,time sequence,audio file,discrete cosine,robust audio fingerprinting,databases,robustness,data mining,cryptography,probability density function,spectrogram,fingerprint identification,bit error rate,degradation,fingerprint recognition,algorithm design and analysis,hash table,discrete cosine transform
Pattern recognition,Double hashing,Computer science,Fingerprint recognition,Discrete cosine transform,Feature hashing,Fingerprint,Robustness (computer science),Artificial intelligence,Hash function,Hash table
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.46
References 
Authors
7
5
Name
Order
Citations
PageRank
Yu Liu140.46
Kiho Cho2334.76
Hwan Sik Yun3454.36
Jong Won Shin421521.85
Nam Soo Kim540.46