Sound classification using sound spectrum features and convolutional neural networks

• Main Authors: Tan, Ki In, Yean, Seanglidet, Lee, Bu-Sung
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Sound spectrum; Sound classification
• Online Access: https://hdl.handle.net/10356/177694
• Institution: Nanyang Technological University

This paper proposes an alternative approach to sound classification using sound spectrum features, differing from the use of the Mel-Frequency Cepstral Coefficients (MFCC). Aligning with the crowd sourcing data collection application NoiseCapture, the data are kept in form of the post-processed soun...