Codificación APVQ de voz en banda ancha usando asignación dinámica de bits

Abstract

This paper describes a coding scheme for broadband speech. It can be seen as a vectorial extension of a conventional ADPCM encoder. In this scheme, signal vector is formed with one sample of the normalized prediction error of each subband and then it is vector quantized. It combines the advantages of the scalar prediction and those of vector quantization (VQ). We handle the high vector dimensionality by using a multiVQ. It requires a previous subvector division and an adequate bit assignment among them. This scheme shows a high capacity to drive large dynamic range signals like broadband speech. Predictor and codebook dessigns are discussed. Some results about speech prediction and coding are reported.