CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-based I-vectors
Hao Zheng1; Shanshan Zhang1; Liwei Qiao2; Jianping Li2; Wenju Liu1
Conference NameINTERSPEECH
Source PublicationINTERSPEECH
Conference Date2016
Conference PlaceSan Francisco, America
AbstractIt has been well-recognized that the accent has a great impact on the ASR of Chinese Mandarin, therefore, how to improve the performance on the accented speech has become a critical issue in this field. The attribute feature has been proven effective
on modelling accented speech, resulting in a significantly improved performance in accent recognition. In this paper, we propose an attribute-based i-vector to improve the performance of speech recognition system on large vocabulary accented Mandarine speech task. The system with proposed attribute features works well especially with sufficient training data. To further promote the performance on conditions such as resource limited condition or training data mismatched condition, we also develop Multi-Task Learning Deep Neural Networks (MTL-DNNs) with attribute classification as the secondary task to improve the discriminative ability on Mandarin speech. Experiments
on the 450-hour Intel accented Mandarin speech corpus demonstrate that the system with attribute-based i-vectors achieves a significant performance improvement on sufficient training data compared with the baseline DNN-HMM system. The MTL-DNNs complement the shortage of attribute-based ivectors on data limited and mismatched conditions and obtain obvious CER reductions.
KeywordAccented Speech Recognition Large Vocabulary Continuous Speech Recognition Attribute
Indexed ByEI
Document Type会议论文
Corresponding AuthorHao Zheng
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.Electric Power Research Institute of Shanxi Electric Power Company
Recommended Citation
GB/T 7714
Hao Zheng,Shanshan Zhang,Liwei Qiao,et al. Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-based I-vectors[C],2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
IS-2016-1.pdf(206KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hao Zheng]'s Articles
[Shanshan Zhang]'s Articles
[Liwei Qiao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hao Zheng]'s Articles
[Shanshan Zhang]'s Articles
[Liwei Qiao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hao Zheng]'s Articles
[Shanshan Zhang]'s Articles
[Liwei Qiao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: IS-2016-1.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.