Audio Compression Using Graph-based Transform
- Resource Type
- Conference
- Authors
- Farzaneh, Majid; Toroghi, Rahil Mahdian; Asgari, Mohammad
- Source
- 2018 9th International Symposium on Telecommunications (IST) Telecommunications (IST), 2018 9th International Symposium on. :410-415 Dec, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Discrete cosine transforms
Audio compression
Multiple signal classification
Matrix decomposition
Symmetric matrices
Media
Graph-based Transformation (GT)
Audio Compression
Audio Coding
Discrete Cosine Transform (DCT)
Decorrelation
- Language
Graph-based Transform is one of the recent transform coding methods which has been used successfully in the state-of-art data decorrelation applications. In this paper, we propose a Graph-based Transform (GT) for audio compression. Hence, we introduce a proper graph structure for audio. Then the audio frames are projected onto an orthogonal matrix consisting of eigenvectors of the introduced graph matrix, leading to the sparse coefficients. The results show that the proposed method outperforms the conventional transform methods like Discrete Cosine Transform (DCT) and Walsh-Hadamard Transform (WHT) in decorrelation of the audio signals.