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traditionalsp
- 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationa
mfccandvc
- 文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+): 81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢 量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
noise
- 语音噪声压缩新算法,一种基于vad的语音噪声抑制方法。这种新算法源于vad 技术及谱减法，它先对含噪声信号进 行vad处理，而后是基于感知掩蔽阈值的谱减法运算，降低噪声，获得清晰的增强信号。与其它算法相比，其效果更好，语 音听测试证明了这一点。-New algorithm for speech compression noise, a noise reduction of speech based vad method. This new algorithm derived from v
cs_bp
- 基于压缩感知的语音信号的重构算法。使用的bp算法-Based on perception of speech signal compression algorithm of reconstruction. Using the bp algorithm
auditory-perception
- 基于听觉感知特性短时谱估计的改进语音增强算法-Based on auditory perception properties of short-time spectrum estimation algorithm
sci-speech-recognition
- 语音识别相关的sci论文，包括 Production and perception of speaker-specific phonetic detail Self-learning speaker identification for enhanced speech recognition Sources ofillusioninconsonantclusterperception Speech listening specifically modulates the exci
dynamic_time_warping_v2.0
- Copyright (C) 2013 Quan Wang <wangq10@rpi.edu>, * Signal Analysis and Machine Perception Laboratory, * Department of Electrical, Computer, and Systems Engineering, * Rensselaer Polytechnic Institute, Troy, NY 12180, USA */ /**