English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, the most popular method for sound event classification can be classified into two types: 1) Extract MFCC or PLP, then train classifier for classification; 2) Convert sound into spectrogram, then use the method of image classification. However, the two methods have not achieved satisfied performance. In order to promote the classification performance, we present classification method for a sound event based on MFCC and sparse coding which has a good effect on capturing the high-level representation features of the input data. Then the coefficients of sparse coding will be employed as new sound event features to train the classification model. Our experimental results demonstrate the great robustness, adaptability and an obvious improvement on sound event classification.

MFCC combined with sparse coding for sound event classification under different noise environments