The invention discloses a multi-
language speech recognition and
interaction method of a
humanoid robot, particularly relates to the technical field of
speech recognition and interaction, and effectively separates
background noise and target speech signals through a multi-channel high-sensitivity
microphone array in combination with an adaptive
noise elimination algorithm, thereby improving the speech
signal recognition accuracy in a noisy environment and improving the
speech recognition efficiency. A speech speed fluctuation abnormal coefficient, an intonation deviation coefficient and a
background noise influence coefficient are calculated through deep analysis of speech signals and
background noise feature data of a target
interaction object, and a
sentence segmentation model is adjusted according to habits of speech speeds, intonation, pauses and the like of different speakers, so that the problem of inaccurate
sentence segmentation under different users or contexts is avoided; the
sentence segmentation
adaptation optimization index is generated according to the
sentence segmentation adaptation optimization model, whether parameters of the
sentence segmentation model need to be adjusted or not is judged by combining a threshold value, real-
time response and optimization are achieved, the situation of misjudgment or missed judgment is reduced, and the smoothness and accuracy of overall interaction are improved.