  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.
