Design of an audio advertisement dataset

Yutao Fu; Jihong Liu; Qi Zhang; Yuting Geng

doi:10.1117/12.2203234

3 December 2015 Design of an audio advertisement dataset

Yutao Fu, Jihong Liu, Qi Zhang, Yuting Geng

Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 979436 (2015) https://doi.org/10.1117/12.2203234
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

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.

Citation Download Citation

Yutao Fu, Jihong Liu, Qi Zhang, and Yuting Geng "Design of an audio advertisement dataset", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 979436 (3 December 2015); https://doi.org/10.1117/12.2203234

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