Multimode Tree-Coding of Speech with Pre-/Post-Weighting

As speech-coding standards have improved over the years, so complexity has increased, and less emphasis been placed on low encoding/decoding delay. We present a low-complexity, low-delay speech codec based tree-coding with sample-by-sample adaptive long- short-code generators that incorporates pre- post-filtering for perceptual weighting multimode classification comfort noise generation (CNG). The pre-/post-weighting filters adapt code generator parameters available at both encoder decoder rather than usual method uses input speech. coding of multiple modes is accomplished using adaptation algorithms, again, Codec comparisons are presented operational rate distortion curves several standardized codecs new given. Finally, performance shown in relation to theoretical bounds.