图 书 馆
具有大层次储层的音素识别Phoneme Recognition with Large Hierarchical Reservoirs |
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| 课程网址: | http://videolectures.net/nips2010_triefenbach_prl/ |
| 主讲教师: | Fabian Triefenbach |
| 开课单位: | 根特大学 |
| 开课时间: | 2010-12-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Automatic speech recognition has gradually improved over the years, but the reliable recognition of unconstrained speech is still not within reach. In order to achieve a breakthrough, many research groups are now investigating new methodologies that have potential to outperform the Hidden Markov Model technology that is at the core of all present commercial systems. In this paper, it is shown that the recently introduced concept of Reservoir Computing might form the basis of such a methodology. In a limited amount of time, a reservoir system that can recognize the elementary sounds of continuous speech has been built. The system already achieves a state-of-the-art performance, and there is evidence that the margin for further improvements is still significant. |
| 关 键 词: | 计算机科学; 语音分析; 自动语音识别 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：zyk |
| 阅读次数: | 52 |