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语音识别模块的性能指标:
高识别率:在一定的硬件环境下,平均准确率可达97%;
端点检测:在识别过程,具备端点检测功能;
实时识别:具有唤醒功能;
环境噪音:一定范围之内,仍可保证高识别率-speech recognition module performance indicators : high recognition rate : some of the hardware environment, average accuracy rate of up t
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一篇关于语音端点检测、前端处理和特征抽取的研究的毕设
-on a voice endpoint detection, front-end processing and feature extraction of a study based BI
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关于语音信号端点检测的有用文献,主要介绍了关于端点检测的有关技术和方法-Endpoint detection of speech signals useful literature are introduced on the endpoint detection of the techniques and methods
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介绍了一种基于MATLAB的多个特定人连接词语音识别的方法,并提出了在进行端点检测时,引入平均的概念能进一步提高识别率。此设计是以LPCC系数、DTW算法为核心的基于图形界面的设计。-A Based on MATLAB more specific conjunctions speech recognition, and during endpoint detection, the introduction of the concept of average to further improve
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语音端点检测的各种论文,包括MFCC、过零率、短时能量、小波以及谱熵等方法,对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
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用双门限算法对语音信号进行端点检测。With the double threshold algorithm for speech signal endpoint detection.-With the double threshold algorithm for speech signal endpoint detection.
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基于matlab语音端点检测双门限程序代码-Double threshold detection procedures based on matlab voice endpoint code
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基于matlab语音端点检测双门限法程序代码-Based on matlab voice endpoint detection threshold method code
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资料介绍了在matlab平台下进行语音端点检测的方法及其操作流程,端点检测使有效的语音数据得到了提取。-Information on the process of speech endpoint detection under the MATLAB platform and its operation process, the speech endpoint detection data efficiently extracted.
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基于MATLAB的语音端点检测短时能量matlab实现短时过零率matlab实现-Speech endpoint detection based on MATLAB short-time energy MATLAB short-time zero crossing ratio of MATLAB
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