图 书 馆
基于分层多流后验的语音识别系统Hierarchical Multi-Stream Posterior Based Speech Recognition System |
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| 课程网址: | http://videolectures.net/mlmi04uk_ketabdar_hmspb/ |
| 主讲教师: | Hamed Ketabdar |
| 开课单位: | 瑞士联邦理工学院 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of features and taking into account acoustic context (e.g., as available in the whole utterance), as well as possible prior information (such as topological constraints). These posteriors are estimated based on \state gamma posterior" de—nition (typically used in standard HMMs training) extended to the case of multi-stream HMMs.This approach provides a new, principled, theoretical framework for hierarchical estimation/use of posteriors, multi-stream feature combination, and integrating appropriate context and prior knowledge in posterior estimates. In the present work, we used the resulting gamma posteriors as features for a standard HMM/GMM layer. On the OGI Digits database and on a reduced vocabulary version (1000 words) of the DARPA Conversational Telephone Speech-to-text (CTS) task, this resulted in signi—cant performance improvement, compared to the stateof- the-art Tandem systems. |
| 关 键 词: | 声学; 语音识别系统; 性能提升 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-15：heyf |
| 阅读次数: | 34 |