Automatic Acoustic Scene Classification
This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto Superior de Engenharia de Lisboa (ISEL)
2017-10-01
|
| Series: | ISEL Academic Journal of Electronics, Telecommunications and Computers |
| Subjects: | |
| Online Access: | http://journals.isel.pt/index.php/i-ETC/article/view/35 |
| Summary: | This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm.
This paper also reports on how our system performed in the context of the DCASE 2016 challenge, for the acoustic scene classification task. |
|---|---|
| ISSN: | 2182-4010 |