图 书 馆
语音分解成语言特点Factoring Speech into Linguistic Features |
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| 课程网址: | http://videolectures.net/clsp_livescu_linguistic/ |
| 主讲教师: | Karen Livescu |
| 开课单位: | 芝加哥丰田技术学院 |
| 开课时间: | 2012-02-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Spoken language technologies, such as automatic speech recognition and synthesis, typically treat speech as a string of "phones". In contrast, humans produce speech through a complex combination of semi-independent articulatory trajectories. Recent theories of phonology acknowledge this, and treat speech as a combination of multiple streams of linguistic "features". In this talk I will present ways in which the factorization of speech into features can be useful in speech recognition, in both audio and visual (lipreading) settings. The main contribution is a feature-based approach to pronunciation modeling, using dynamic Bayesian networks. In this class of models, the great variety of pronunciations seen in conversational speech is explained as the result of asynchrony among feature streams and changes in individual feature values. I will also discuss the use of linguistic features in observation modeling via feature-specific classifiers. I will describe the application of these ideas in experiments with audio and visual speech recognition, and present analyses suggesting additional potential applications in speech science and technology. |
| 关 键 词: | 语音识别; 发音建模; 动态贝叶斯网络 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-25：yumf |
| 阅读次数: | 53 |