Share Email Print

Proceedings Paper

Design of an audio advertisement dataset
Author(s): Yutao Fu; Jihong Liu; Qi Zhang; Yuting Geng
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Since more and more advertisements swarm into radios, it is necessary to establish an audio advertising dataset which could be used to analyze and classify the advertisement. A method of how to establish a complete audio advertising dataset is presented in this paper. The dataset is divided into four different kinds of advertisements. Each advertisement’s sample is given in *.wav file format, and annotated with a txt file which contains its file name, sampling frequency, channel number, broadcasting time and its class. The classifying rationality of the advertisements in this dataset is proved by clustering the different advertisements based on Principal Component Analysis (PCA). The experimental results show that this audio advertisement dataset offers a reliable set of samples for correlative audio advertisement experimental studies.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 979436 (3 December 2015); doi: 10.1117/12.2203234
Show Author Affiliations
Yutao Fu, Northeastern Univ. (China)
Jihong Liu, Northeastern Univ. (China)
Qi Zhang, Northeastern Univ. (China)
Yuting Geng, Northeastern Univ. (China)

Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?