Abstract: Sequential digital vocal sound data are orthogonal-transformed per predetermined number of the data to obtain power spectrum data. The power spectrum data are converted into a data conversion form that a feature corresponding to a phoneme of the vocal sound data is extracted. Converted data thus converted into the data conversion form are compared with reference data patterns related to the feature corresponding to the data conversion form to obtain correlation data between the converted data and the reference data. Pitches are extracted in a frequency direction based on the power spectrum data or the converted data. Power values are extracted based on the vocal sound data or the power spectrum data. The correlation data, pitches, and power values are then coded, sequentially. The coded data are decoded and signals related to each phoneme are formed based on the decoded power values and pitches. The signals are synthesizing with each other to reproduce vocal sound signals.

Abstract: A multidimensional image compression and decompression system wherein, during compression, regardless of how high or low the pixel density is in an image used as an object for processing image data, compressed image data is obtained by extracting only characteristic points included in the image. During decompression, luminance data of pixels except those corresponding to characteristic points are determined by an interpolational plane or solid body which in turn is determined by a plurality of adjacent characteristic points when a position and luminance value of the characteristic points are used for transmission, recording and restoration of images, with respect to image data distributed in two-dimensions and three-dimension when a time base is included. Therefore, it is possible to decompress the multidimensional compressed image using only a short calculation time.