Knowledge Commons of Institute of Automation,CAS
Stable-time Prediction during Incremental Speech Recognition | |
Chen, Xiao; Xu, Bo | |
2016-05 | |
会议名称 | International Conference of Online Analysis and Computing Science |
会议录名称 | Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science |
会议日期 | 28-29 |
会议地点 | Chongqing |
摘要 |
Incremental speech recognition (ISR) is the key technology to increase the efficiency of human-computer interaction and obtain the good user experience. However, ISR’s results are not stable. The earlier methods decide whether to output the current best partial result by stable-time. These methods can increase stability, but introduce a lag which lowers the advantage of user experience. In this paper, a new method based on the stable-time prediction is proposed. It predicts the probable stable-time of the current best partial result in the future, using the acoustic score information of N-best paths of successive frames. So it can determine whether to output the current best partial result in advance. It can reduce lags and improve performance. Results indicate that, the proposed method outperforms the baseline. At the lag of 0.2s, the proposed method results in an absolute improvement of 1.2% and achieves a stability of 92.2%. And at the other lags, the proposed method also results in a similar improvement. |
关键词 | Incremental Speech Recognition Stability Lag Stable-time Prediction |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41105 |
专题 | 复杂系统认知与决策实验室_听觉模型与认知计算 |
通讯作者 | Chen, Xiao |
推荐引用方式 GB/T 7714 | Chen, Xiao,Xu, Bo. Stable-time Prediction during Incremental Speech Recognition[C],2016. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Chen, Xiao]的文章 |
[Xu, Bo]的文章 |
百度学术 |
百度学术中相似的文章 |
[Chen, Xiao]的文章 |
[Xu, Bo]的文章 |
必应学术 |
必应学术中相似的文章 |
[Chen, Xiao]的文章 |
[Xu, Bo]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论