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- In this paper, a new speech endpoint detection method based on ICA (Independent Component Analysis) enhancement and spectral entropy is proposed. 提出了基于ICA（独立分量分析）增强和谱熵的语音端点检测方法。
- In this paper, we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection, and discriminative rules with robustness. 本文提出了基于谱熵和谱减法相结合的带噪语音端点检测改进算法以及端点检测的判决准则。
- A Study on the Method of Speech Endpoint Detection 语音信号端点检测方法研究
- Study on noisy speech endpoint detection method 带噪语音端点检测方法研究
- Speech Endpoint Detection Based on Energy and Voicing Features 基于能量和浊音特性的语音端点检测
- Speech endpoint detection based on recurrence rate analysis 基于信号递归度分析的语音端点检测方法
- speech endpoint detect 端点检测
- Application of Fluctuation Complexity Measure to Speech Endpoint Detection 涨落复杂性测度在语音端点检测中的应用研究
- Continuous Speech Endpoint Detection Method Based on Energy-frequency-value 一种基于能频积实现连续语音端点检测的方法
- Speech Endpoint Detection Algorithm Analyses Based on Short-term Energy 基于短时能量的语音端点检测算法研究
- Improvements of Speech Endpoint Detection Based on Short Time Average Magnitude 基于短时平均幅度的语音端点检测的改进
- A Speech Endpoint Detection Algorithm Based on the Band-partitioning Spectral Entropy and Spectral Energy 一种基于分带谱熵和谱能量的语音端点检测算法
- Speech endpoint detection using mean square filtering and threshold encoding of wavelet transformation 采用小波变换的均方值滤波和门限值编码的语音端点检测
- Endpoint detection is to detect the speech and the niose in the speech signal.It's an important part in speech signal processing. 摘要端点检测是从一段语音中检测出语音段和噪声段，是语音信号处理过程中的一个重要环节。
- speech endpoint detection 语音端点检测
- Endpoint detection of speech is a curial problem in speech recognition.Endpoint detection has an important effect on speech recognition. 端点检测是语音识别中的一项关键技术,端点检测的准确性对语音识别的结果有很大影响。
- This thesis applies HHT technique to endpoint detection, noise repression, pitch detection and the characteristic parameters procurement in speech Recognition field. 本文将HHT技术成功的应用到语音识别的语音信号端点检测、噪声抑制、基音检测和特征参数提取等领域，既在理论上分析了这种方法的可行性，还通过一些实验进行了验证，取得了良好的效果。
- This paper analyzes snore signals recorded synchronously in sleep, and recognizes the voiced-unvoiced segments using the method of endpoint detection for speech signals based on short-time energy. 本文对睡眠过程中同步记录的鼾声信号进行分析,采用基于短时能量的音频信号端点检测方法,区分鼾声的有声段和无声段。
- Speech Endpoint Identification Based on DWT 基于DWT变换的语音端点检测
- It is followed by digital sampling, windowing, noise filtering, endpoint detection, time-domain vector and transform-domain vector. 内容涉及语音信号的数字化、加窗处理、预加重滤波、端点检测，及时域特征向量和变换域特征向量。
