Content-based audio classification and retrieval by support vector machines

By Guo-qing Guo, S. Li. IEEE Trans. Neural Networks, 2003

492 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4b2f55f91e63268a58457cccaa95255336c3e0df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Bhiksha Raj
2. Ankit Shah
3. Anurag Kumar
4. Alexander G. Hauptmann
5. Yi Yang
6. Luc Van Gool
7. Andrew Zisserman
8. Xiaogang Wang

In Signal Processing

1. Anurag Kumar
2. Bhiksha Raj
3. Ankit Shah
4. Alexander G. Hauptmann
5. Eduardo Fonseca
6. Xavier Serra
7. Vamsi Krishna Ithapu
8. Frederic Font

Citations in the corpus

• Robust Sound Event Classification Using Deep Neural Networks (2015, unknown): “Although PLPs, as well as MFCCs, involve non-linear processing designed to model the frequency response of the human ear, the new research was motivated to additionally account for time-domain and strobed temporal integration effects, and perhaps to better model the auditory signal as received by th”
• A Closer Look at Weak Label Learning for Audio Events (2018, background): “Some of the earliest works on automated content analysis of audio recordings were done for content based retrieval of audio recordings [14][15].”