Abstract: A speaker adapted speech recognition system achieving a high recognition rate for an unknown speaker, comprises a plurality of acoustic templates of speakers for managing correspondence between an acoustic feature of the speech and a content of the speech, a converting portion for converting the acoustic feature of the speech managed by the acoustic templates according to a set parameter, a learning portion for learning the parameter, at which the acoustic feature of the acoustic template as converted by the converting portion is approximately coincidence with the acoustic feature of a corresponding speech input for learning when the speech input for learning is provided, a selection portion for selecting one or more of the acoustic templates having the closest acoustic features to that of a speech input for selection; the acoustic features of which are converted by the converting portion by comparing the corresponding acoustic feature of the speech input for selection with the corresponding acoustic features

Abstract: A dictionary order sorter resorts character strings of recognition candidates stored in a high-ranking candidate memory in the order of distance into a dictionary order (character code order). Upon receipt of a sort termination signal a display controller displays the character strings of recognition candidates stored in the high-ranking candidate memory in the dictionary order and their ranking numbers in order on a display. Where an attribute-dependent sorter is provided in place of the dictionary order sorter, the character strings of recognition candidates stored in the distance order in the high-ranking candidate memory are sorted (grouped) according to attribute information of categories, such as parts of speech, concepts, etc., which are stored in a template memory for each of the recognition candidates and then displayed classified into groups. The categories of attribute information can arbitrarily be specified by the user.

Abstract: A voice recognition system for selecting word templates necessary for voice recognition from among a plurality of word templates. The system includes an input phoneme extraction unit for extracting distinctive phonemes which can be clearly recognized from an input pattern of the voice, and all phonemes possibly existing in the input pattern, and a dictionary phoneme extraction unit for extracting the distinctive phonemes which can be clearly recognized and can be previously determined at each word template, and all phonemes possibly existing at each word template. A pre-selector selects valid word templates for performing voice recognition based on phoneme information extracted by the input phoneme extraction unit and the dictionary phoneme extraction unit.