Speech compression with cosine and wavelet packet near-best bases
Carl Taswell · 2002
Compression of speech from the TIMIT corpus was investigated for several transform domain methods coding near-best and best bases from cosine and wavelet packet transforms. Satisficing (suboptimizing) search algorithms for selecting near-best bases were compared with optimizing algorithms for best bases in these adaptive tree-structured transforms. Experiments were performed on several hundred seconds of speech spoken by both male and female speakers from all dialect regions of the TIMIT corpus. Near-best bases provided rate-distortion performance effectively as good as that of best bases but without the additional computational penalty. Cosine packet bases outperformed wavelet packet bases.