Abstract: The present application relates to a microorganism that produces allulose and a method for preparing allulose using the same.

Abstract: The present disclosure relates to a method for preparing a fermented composition, and more specifically, to a method for preparing a fermented composition with improved odor, which comprises preparing grain flour; performing primary fermentation of the grain flour using yeast; performing secondary fermentation of the primary fermented product using a strain of the genus Bacillus; and obtaining the secondary fermented product. The fermented composition of the present disclosure has a high content of a peptide with a low molecular weight, and thus enables the increase of digestibility and absorption rate of proteins during ingestion while also improving the peculiar odor of a fermented product to enhance its palatability.

Abstract: The present invention relates to a mutant strain of Aspergillus sojae with an enhanced protease activity and a preparation method of a natural taste enhancer using the same. More specifically, the present invention relates to the mutant strain of Aspergillus sojae with an enhanced protease activity is obtained by selecting a strain with high protease activity and treating it with N-methyl-N?-Nitroso-N-nitrosoguanidine (NTG) and inducing a mutation through irradiating, and a preparation method of a natural taste enhancer using protein hydrolysate obtained by hydrolyzing the protein sources with their cultures.

Abstract: The present invention relates to a mutant strain of Aspergillus sojae with an enhanced protease activity and a preparation method of a natural taste enhancer using the same. More specifically, the present invention relates to the mutant strain of Aspergillus sojae with an enhanced protease activity is obtained by selecting a strain with high protease activity and treating it with N-methyl-N?-Nitroso-N-nitrosoguanidine (NTG) and inducing a mutation through irradiating, and a preparation method of a natural taste enhancer using protein hydrolysate obtained by hydrolyzing the protein sources with their cultures.

Abstract: A coding apparatus including a base layer, a speech quality enhancement layer, and a multiplexer. The base layer filters an input speech signal using linear prediction coding and generates an excitation signal corresponding to the filtered speech signal through a fixed codebook search and an adaptive codebook search. The speech quality enhancement layer searches a fixed codebook using parameters obtained through the fixed codebook search in the base layer, or searches the fixed codebook using a target signal, which is obtained by removing a contribution of a fixed codebook of the base layer and a signal which is obtained by synthesizing and filtering a previous fixed codebook of the speech quality enhancement layer from a target signal for the fixed codebook search of the base layer. The multiplexer multiplexes signals generated by the base layer and the at least one speech quality enhancement layer.

Abstract: Provided are a method of producing a solid seasoning including: mixing at least one plant protein source selected from the group consisting of sterilized soy beans, non-fat soy beans and wheat gluten, and a liquid culture medium of kojic mold, and degrading the plant protein source under unsalted and sterile conditions; and drying the degraded product to obtain the solid seasoning, a solid seasoning produced using the method, and a general food seasoning, sauce, dressing, soy sauce or soy bean paste, or processed food including the solid seasoning.

Abstract: The LSF quantizer for a wideband speech coder comprises a subtracter for receiving an input LSF coefficient vector and removing a DC component from it; a memory-based vector quantizer and a memoryless vector quantizer for respectively receiving the DC-component-removed LSF coefficient vector and independently quantizing the same; a switch for receiving quantized vectors respectively quantized by the memory-based vector quantizer and the memoryless vector quantizer, selecting a quantized vector that has less quantized error that is a difference between the received quantized vector and the input LSF coefficent vector from among the received quantized vectors, and outputting the same; and an adder for adding the quantized vector selected by the switch to the DC component of the LSF coefficient vector.

Abstract: A coding apparatus including a base layer, a speech quality enhancement layer, and a multiplexer. The base layer filters an input speech signal using linear prediction coding and generates an excitation signal corresponding to the filtered speech signal through a fixed codebook search and an adaptive codebook search. The speech quality enhancement layer searches a fixed codebook using parameters obtained through the fixed codebook search in the base layer, or searches the fixed codebook using a target signal, which is obtained by removing a contribution of a fixed codebook of the base layer and a signal which is obtained by synthesizing and filtering a previous fixed codebook of the speech quality enhancement layer from a target signal for the fixed codebook search of the base layer. The multiplexer multiplexes signals generated by the base layer and the at least one speech quality enhancement layer.

Abstract: A fast search method for searching for an optimum codeword for nearest neighbor vector quantization. An upper boundary value and a lower boundary value between which an optimum codeword will exist in a codebook are calculated using a distortion of a designated element in an input vector and an experimentally determined threshold. Further, a start point and an end point for codebook search are determined using a binary search method from a codebook rearranged in descending order, and a full search scheme is applied only within a search range calculated by the determined start point and end point, thereby determining an optimum codeword for nearest neighbor vector quantization.

Abstract: A fast search method for searching for an optimum codeword for nearest neighbor vector quantization. An upper boundary value and a lower boundary value between which an optimum codeword will exist in a codebook are calculated using a distortion of a designated element in an input vector and an experimentally determined threshold. Further, a start point and an end point for codebook search are determined using a binary search method from a codebook rearranged in descending order, and a full search scheme is applied only within a search range calculated by the determined start point and end point, thereby determining an optimum codeword for nearest neighbor vector quantization.

Abstract: The LSF quantizer for a wideband speech coder comprises a subtracter for receiving an input LSF coefficient vector and removing a DC component from it; a memory-based vector quantizer and a memoryless vector quantizer for respectively receiving the DC-component-removed LSF coefficient vector and independently quantizing the same; a switch for receiving quantized vectors respectively quantized by the memory-based vector quantizer and the memoryless vector quantizer, selecting a quantized vector that has less quantized error that is a difference between the received quantized vector and the input LSF coefficent vector from among the received quantized vectors, and outputting the same; and an adder for adding the quantized vector selected by the switch to the DC component of the LSF coefficient vector.