The invention discloses a language interaction text information calibration method based on a humiture large
language model Agent, which relates to the field of
speech recognition, solves the problem of poor calibration effect of the existing language interaction text information calibration method, and comprises the following steps: S1, acquiring real-time interaction audio and sampling to obtain a sampled audio clip, and storing the sampled audio clip in a
database; the method comprises the following steps: S1, sampling an audio sample, carrying out audio analysis to obtain a speech
loudness intrusive ratio and a fragment statement recognition
coincidence ratio, and obtaining
interactive audio collection data, S2, carrying out type division on real-time
interactive audio by analyzing the
interactive audio collection data, respectively carrying out audio statement segmentation to obtain real-time interactive
audio segmentation data, and carrying out audio analysis on the real-time interactive
audio segmentation data; and S3, performing vocabulary semantic
verification on the text vocabularies according to the real-time interaction
audio segmentation data, and performing vocabulary translation and outputting according to the
verification result. The method can improve the pertinence and accuracy of the language interaction text information calibration method.