Aiming at complex and changeable factors such as speech theme and environment,which make it difficult for a speaker to prepare the speech text in a short time,this paper proposes a speech generation and demonstration s...Aiming at complex and changeable factors such as speech theme and environment,which make it difficult for a speaker to prepare the speech text in a short time,this paper proposes a speech generation and demonstration system based on deep learning.This system is based on the Deep Learning Development Framework(PyTorch),trained through the theory of GPT-2 and the open source pretrained model,to generate multiple speeches according to the topics given by users,and the system generates thefinal speech and corresponding voice demon-stration audio through text modification,speech synthesis and other technologies to help users quickly obtain the target document and audio.Experiments show that the text generated by this model is smooth and easy to use,which helps shorten the preparation time of speakers and improves the confidence of the impromptu speaker.In addition,the paper explores the application prospects of text generation and has certain reference value.展开更多
文摘Aiming at complex and changeable factors such as speech theme and environment,which make it difficult for a speaker to prepare the speech text in a short time,this paper proposes a speech generation and demonstration system based on deep learning.This system is based on the Deep Learning Development Framework(PyTorch),trained through the theory of GPT-2 and the open source pretrained model,to generate multiple speeches according to the topics given by users,and the system generates thefinal speech and corresponding voice demon-stration audio through text modification,speech synthesis and other technologies to help users quickly obtain the target document and audio.Experiments show that the text generated by this model is smooth and easy to use,which helps shorten the preparation time of speakers and improves the confidence of the impromptu speaker.In addition,the paper explores the application prospects of text generation and has certain reference value.
