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AnadaptiveKalmanfilterfortheenhancementofspeechsig
- This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in w
200613225718
- 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
Speech_Enhancement_Using_Sub-band_Spectral_Analysi
- 提出一种有效的语音增强算法，该算法使用重叠相加FF-r滤波器进行谱幅度估计，给出噪声估计的两个均值参数，此参数适用于任何噪声．而且进行噪声估计无需检测语音间隙，无需VAD的运算过程，克服了单信道噪声 压缩算法的缺点．-An effective speech enhancement algorithm using the overlap-add FF-r filter in spectral amplitude estimation, given the noise mean estimate
noisecancellation
- noise cancellation for speech enhancement
SpeechEnhancement
- suppression of acoustic noise in speech using spectral subtraction
sdarticle
- Speech enhancement for non-stationary noise environments
lunwen
- 本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。-This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and thro
speech
- 运用matlab仿真实现语音增强和噪声消除的功能-Matlab simulation using voice enhancement and noise reduction features
08-NTAV-SPA_165_Marciniak-Rochowniak-etal
- In this paper we propose a method for voice activity detection (VAD) in a speech signal recorded in the presence of noise. The so-called endpoint detection (EPD), i.e., detection of voice activity (speech) boundaries is very difficult if the
shuangmaikefengjiangzao
- 单麦克风和双麦克风语音增强系统的研究，这是基础的双麦克风降噪算法，但是很实用-Single microphone and dual-microphone speech enhancement system, which is based dual-microphone noise reduction algorithm, but very practical
LMS
- LMS算法多麦克风语音降噪，语音降噪处理，基于matlab-LMS algorithm for multi-microphone speech noise reduction, voice, noise reduction, based on matlab
Improved-algorithms-based-LMS
- 一种基于LMS改进算法的语音增强方法，使用LMS迭代算法解决语音信号中噪声过大的因素，提高信号的信噪比-Improved algorithms for speech enhancement method based LMS LMS iterative algorithm to solve too much noise in the speech signal factor
speech
- musical noise free speech enhancement
SPARK-Features-for-noise-robust-Speech-Recognitio
- Electronic industry now growing towards the automation of everything, It includes development of Touch screen Interface Voice Recognition etc. These are leads to a world in which almost all electronic systems are capable of working in response with h
Approximate-Bayesian-Inference-for-Robust-Speech-
- Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These parameters must often be estimated from noisy observations since speech signals are r
Wiener-Filtering-for-Speech-Enhancement-in-Modula
- Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech signals e ective and useful, they need to be enhanced from the noisy speech signal. In s
speech-modeling-based-on-HNM.pdf
- this paper presents a speech modeling method that supposes speech to be formed of harmonic and noise part.
Speech-Processing.pdf
- This document makes an introduction to speech communication, Acoustic Theory of Speech: The Source-Filter Model,Speech Models and Features, Linear Prediction Model of Speech,Harmonic plus Noise Model of Speech, etc.
su
- 利用双线性变换法设计一个级联型的椭圆IIR滤波器，对一段含噪语音信号进行滤波去噪处理并根据滤波前后的波形和频谱分析滤波性能。本课程设计仿真平台为MATLAB7.0，开发工具是M语言编程。首先在Windows下用录音机工具录制一段语音信号，并人为加入一单频噪声，然后对信号进行频谱分析以确定所加噪声频率，并设计滤波器进行滤波去噪处理，最后比较滤波前后的波形和频谱并进行分析。-Bilinear transformation method is used to design a cascade elli
speech - Copy
- detection and estimation of noise in speech process