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	A General Framework for Multi-Accent Mandarin Speech Recognition Using Adaptive Neural Networks
	Sui, Xiang; Wang, Huiyong; Wang, Lan
	2014
会议名称	9th International Symposium on Chinese Spoken Language Processing (ISCSLP)
会议地点	新加坡
英文摘要	In this paper, we propose a general framework for multi-accent speech recognition that combines Multi-level Adaptive Network (MLAN) and automatic model selection system based on accent classification. This framework solves the problem of domain mismatch between standard Mandarin and accent data and makes full use of limited accent data. The effectiveness of the proposed method was evaluated on two typical Chinese accent data, namely Shanghai and Chongqing accents. Results show higher performance of the framework on multi-accent speech recognition compared to GMM-HMM systems with prior accent label knowledge, with up to 3.89% CER (Character Error Rate) reduction on Chongqing accent test set and 1.71% on Shanghai accent test set.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5526]
专题	深圳先进技术研究院_集成所
作者单位	2014
推荐引用方式 GB/T 7714	Sui, Xiang,Wang, Huiyong,Wang, Lan. A General Framework for Multi-Accent Mandarin Speech Recognition Using Adaptive Neural Networks[C]. 见:9th International Symposium on Chinese Spoken Language Processing (ISCSLP). 新加坡.

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