Improved diva neural network model pronunciation method based on vocal tract action knowledge base

Abstract

The invention relates to an articulation method, in particular to an articulation method of a Directions Into of Articulators (DIVA) neural network model improved on the basis of a track action knowledge base. The articulation method is characterized in that the improved DIVA neural network model added with the track action knowledge base is adopted, and for voice not included in a voice mapping set, the corrected auditory feedback information is obtained by combining disturbance factors, the neural network is trained by aid of the corrected auditory feedback information, and therefore the training times of the model in articulation generation are reduced and articulation accuracy is improved.

Description

technical field [0001] The invention relates to a pronunciation method, in particular to an improved DIVA neural network model pronunciation method based on vocal tract action knowledge base. Background technique [0002] Neuro-computational speech model (Neuro-computational speech model) is a model that uses computer simulation to realize a series of complex processes such as speech generation, perception and acquisition. The composition of the neurocomputational speech model is very complex, including at least a cognitive part, a motor processing part and a sensory processing part: the role of the cognitive part is to generate neural activation (or generate phoneme representations) during the speech generation and speech perception stages; The motor processing part starts with the activation planning movement according to the generated phoneme representation, and ends with the movement of the vocal organs corresponding to the specific phoneme item; the sensory processing p...

AI Technical Summary

Problems solved by technology

[0011] There are some defects in the DIVA model, which are mainly manifested in the following points: For the model, it is assumed that all state information given at a given point is available instantaneously; the model is assumed to have no neural delay and the system uses instantaneous feedback control; The reference frame for control can only choose the sensory reference frame space of the articulation organ or the auditory space reference frame, and the two cannot coexist at the same time; the description of the segmentation of cortical and subcortical processing and the correlation of brain region components is relatively rough

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