Audio Compression Using Graph-based Transform
- Resource Type
- Working Paper
- Authors
- Farzaneh, Majid; Mahdian, Rahil; Asgari, Mohammad
- Source
- Subject
- Electrical Engineering and Systems Science - Audio and Speech Processing
Computer Science - Sound
Electrical Engineering and Systems Science - Signal Processing
- 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.
Comment: 2018 9th International Symposium on Telecommunications (IST)