图 书 馆
基于HMM的主题分类语音识别器的无监督训练Unsupervised Training of an HMM-based Speech Recognizer for Topic Classification |
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| 课程网址: | http://videolectures.net/clsp_gish_recognizer/ |
| 主讲教师: | Herb Gish |
| 开课单位: | BBN技术公司 |
| 开课时间: | 2012-02-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We address the problem of performing topic classification of speech when no transcriptions from the speech corpus of interest are available. The approach we take is one of incremental learning about the speech corpus starting with adaptive segmentation of the speech, leading to the generation of discovered acoustic units and a segmental recognizer for these units, and finally to an initial tokenization of the speech for the training of a HMM speech recognizer. The recognizer trained is BBN's Byblos system. We discuss the performance of this system and also consider the case when a small amount of transcribed data is available. |
| 关 键 词: | 语音处理; 语音识别器; 无监督训练 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-05-14：yumf |
| 阅读次数: | 64 |