小语料库重庆话语音识别的研究

Study on Speech Recognition in Chongqing Dialect of Small Corpus

摘要:

随着计算机技术的发展，人工智能产品已经开始广泛地应用在各个领域。利用地区方言与人工智能产品进行交流成为了人机交互技术领域一个重要的研究方向。地处西南的重庆市为国家定位的国际大都市，世界各种文化伴随着人流汇聚于此。承载着重庆本土文化的重庆话作为重庆地区的主要交流语言，研究重庆话语音识别在推动人工智能产品本土化有着积极的作用。本文以重庆话为研究对象，建立了重庆话和重庆话口音的普通话小语料库，搭建了以HMM为声学模型的语音识别系统，分别以重庆话和重庆话口音的普通话作为声学模型去分别识别重庆话和带重庆话口音的普通话。实验表明，重庆话和重庆话口音的普通话声学模型去识别对应语音的正确识别率均为100%；重庆话声学模型识别重庆口音的普通话的正确识别率达到78.89%，重庆话口音的普通话声学模型去识别重庆话的正确识别率达到91.67%。

Abstract:

Regional dialect is an important carrier of cultural heritage in the region, and is an important part of the Chinese national language library. Located in the southwest of Chongqing city as a national positioning of the international metropolis, various cultures of the world gather here together with the flow of people. Chongqing dialect with Chongqing local culture is as the main communication language in Chongqing. The study of speech recognition in Chongqing dialect plays a positive role in promoting the localization of artificial intelligence products. This paper takes Chongqing dialect as the research object, establishes the small corpus of Chongqing dialect, and constructs a speech recognition system using HMM as the acoustic model, and compares the recognition results of Chongqing dialect and Mandarin in Chongqing dialect accent. Experimental results show that the correct recognition rate of acoustic model of Chongqing dialect and Mandarin in Chongqing dialect accent to recognize the corresponding speech was 100%; the correct recognition rate of The Chongqing dialect acoustic model recognize Mandarin in Chongqing dialect accent was 78.89%, the correct recognition rate of Mandarin in Chongqing dialect accent acoustic model to recognize Chongqing dialect was 91.67%.