| WAV音频分句的算法设计 |
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| 引用本文： | 赵文博,张生,孙国强,王艇艇.WAV音频分句的算法设计[J].微计算机信息,2011(8). |
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| 作者姓名： | 赵文博 张生 孙国强 王艇艇 |
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| 作者单位： | 上海理工大学; |
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| 基金项目： | 上海市研究生创新基金项;基金申请人:赵文博,王艇艇;项目名称:基于嵌入式微处理器的智能婴儿摇篮;基金颁发部门:上海市教育委员会(JWCXSL1002) |
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| 摘 要： | 随着网络信息技术的迅猛成长,我们正快步走进信息时代,世界经济、文化等信息交流变得十分频繁与快捷。基于语言学习的需要,本文提出了一种基于语音端点检测技术的音频分句算法。本算法对音频文件进行分帧后,通过提取语音帧特征项,判别其特征值后对其进行归类。在特征项提取时,为短时过零率设定正负门限,可大大增强判别特征值的准确性。提出上升沿与下降沿的概念对语音端点进行精确定位,并最终存储音频分句的端点,实现音频分句功能。
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| 关 键 词： | WAV音频 音频分句 短时过零率 短时平均能量 |
The algorithm for wav audio separating |
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| ZHAO Wen-bo ZHANG Sheng SUN Guo-qiang WANG Ting-ting.The algorithm for wav audio separating[J].Control & Automation,2011(8). |
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| Authors: | ZHAO Wen-bo ZHANG Sheng SUN Guo-qiang WANG Ting-ting |
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| Affiliation: | ZHAO Wen-bo ZHANG Sheng SUN Guo-qiang WANG Ting-ting(University of Shanghai for Science and Technology,shanghai 200090,China) |
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| Abstract: | With the rapid growth of information technology,the information age is rapidly approaching,the exchange of the world's economic and cultural information has become very frequent and fast.Based on the needs of language learning,this paper presents a speech endpoint detection based on audio separating algorithm.In this algorithm,we will be framing the audio,extracting the feature items from the voice frames,determine the characteristic value and then classified.Item in the feature extraction,we will set a thr... |
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| Keywords: | WAV audio audio separating short-term zero crossing rate short-term average energy |
| 本文献已被 CNKI 等数据库收录！ |
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