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Speech Enhancement Based On AUnvoiced-Voiced Model
- 摘要：基于语音状态模型的语音增强算法是当前语音信号处理的研究热点。把通常的LPC语音模型修正后，将得到两个语音模型：时变AR 模型、时变双AR模型。但是利用这些模型增强语音时，都没有考虑到语音的清音、浊音区别。为此本文引入了语音清浊音状态空间模型，这种模型在描述语音方面比时变AR模型、时变双AR模型要强，而且物理含义明显 同时在用含噪语音信号预测纯净语音信号时，引入遗忘因子和粒子滤波算法以降低计算复杂性，减小运算量。实验证明，增强后的语音信号信噪比有一定提高．且优于传统的LPC模型.
design_for_test
- Testability is the concern most often voiced by Texas Instruments (TIä ) application specific integrated circuit (ASIC) users. This document is intended to consolidate TI policies into a coherent approach to designing for testability. It is
extraction
- We propose methods to track natural variations in the characteristics of the vocal-tract system from speech signals. We are especially interested in the cases where these characteristics vary over time, as happens in dynamic sounds such as co
1
- 一个基于遗传算法与mp的外文文献，讲的很清楚明了，有参考价值-VOICED/UNVOICED SPEECH DISCRIMINATION IN NOISE USING GABORATOMIC DECOMPOSITION
mb_ftracker
- Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
Short-term-energi
- Short Term Energy is important for filtering a signal. With Short Term Energy, we can get voiced and unvoiced.
formant_estimation
- his MATLAB exercises illustrates an algorithm for estimating the locations of the formants of voiced speech intervals based on the locations of the speech polynomial roots as obtained a frame-based analysis of a speech signal using the method of Line