Interactive speech recognition system and method

Abstract

The invention discloses an interactive speech recognition system which comprises an acoustic model, a language model selection module, a speech and sentence extraction module, a speech recognition module, a word candidate generation and error correction module and an interaction module, wherein the acoustic model and the language model selection module are used for selecting an acoustic model which is the most similar to an object to be recognized in the pronunciation characteristic for the object to be recognized and a language model which is the most similar to the object to be recognized in the field for the whole recognition process according to the information of the object to be recognized; the speech and sentence extraction module is used for segmenting the whole section of a speech signal into a plurality of speeches and sentences, extracting the segmented speeches and sentences and sending to the speech recognition module; the speech recognition module is used for recognizingthe speeches and the sentences extracted by the speech sentence extraction module and outputting an intermediate recognition result; the word candidate generation and error correction module is used for processing the intermediate recognition result to generate a candidate assembly and correcting recognition errors according to selected candidates or input correct data to obtain a final recognition result; and the interaction module is used for sending data input by a user to the acoustic model and the language model selection module and feeding back the recognition result of the word candidate generation and error correction module to the user.

Description

technical field [0001] The invention relates to the technical field of speech recognition, in particular to an interactive speech recognition system and method. Background technique [0002] At present, the small and medium vocabulary speech recognition technology for special applications has been practically applied. However, due to the limitations of background noise, dialect accent, colloquial natural speech, and semantic understanding, the performance of large-vocabulary continuous speech recognition systems for real scenes is far from meeting the requirements of practical applications. [0003] In the existing speech recognition system, some interactive technologies have appeared, mainly error correction technology, that is, after a sentence is recognized, the speaker corrects the errors in the recognition result. Early systems can provide multiple interactive modes at the same time, including word re-speaking (re-speaking), word spelling (spelling), keyboard input, ha...

AI Technical Summary

Problems solved by technology

Existing speech recognition systems segment and track speakers through automatic system recognition. This recognition not only consumes a lot of computing resources, but also the results are not very accurate. Wrong results are likely to lead to deterioration of system performance.

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