| 基于听觉模型的特征在英语重音检测中的应用 |
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| 引用本文： | 陈楠,贺前华,李韬. 基于听觉模型的特征在英语重音检测中的应用[J]. 计算机工程, 2009, 35(8): 26-27 |
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| 作者姓名： | 陈楠 贺前华 李韬 |
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| 作者单位： | 华南理工大学电子与信息学院,广州,510641;华南理工大学电子与信息学院,广州,510641;华南理工大学电子与信息学院,广州,510641 |
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| 摘 要： | 对于英语等“重音节拍语言”,重音是一个非常重要的韵律学特征。从听觉模型的角度出发,利用基音同步幅度峰值特征能同时表征瞬时频率和强度信息的特点进行重音检测。使用基音同步幅度峰值特征以及与传统特征的组合对英语连续语音的试验结果表明,新特征能使系统误识率降低1.5%。
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| 关 键 词： | 重音检测 听觉模型 基音同步幅度峰值 |
| 修稿时间： | |
Application of Auditory Model-based Feature in English Lexical Stress Detection |
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| CHEN Nan,HE Qian-hua,LI Tao. Application of Auditory Model-based Feature in English Lexical Stress Detection[J]. Computer Engineering, 2009, 35(8): 26-27 |
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| Authors: | CHEN Nan HE Qian-hua LI Tao |
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| Affiliation: | School of Electronic and Information;South China University of Technology;Guangzhou 510641 |
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| Abstract: | Stress is an important prosodic feature for stress-timed language such as English. This paper presents a new approach using auditory model-based Pitch Synchronous Peak Amplitude(PSPA) feature, which incorporates frequency and intensity information in English lexical stress detection. PSPA feature, along with traditional features and their combinations to English lexical stress detection are evaluated with ISLE database. Experimental results show that the combination of new feature and traditional features d... |
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| Keywords: | stress detection auditory model Pitch Synchronous Peak Amplitude(PSPA) |
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