Blind Determination of the Signal to Noise Ratio of Speech Signals Based on Estimation Combination of Multiple Features

机译：基于多特征估计组合的语音信号信噪比盲目确定

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupted by additive noise is proposed. The method is based on a pattern recognition paradigm using various linear predictive based features, a vector quantizer classifier

机译：提出了一种盲法估计被加性噪声破坏的语音信号的信噪比（SNR）。该方法基于使用各种基于线性预测的特征的模式识别范例，矢量量化器分类器

著录项

来源
《Circuits and Systems, (APCCAS), 2006 IEEE Asia Pacific Conference on》|2006年|P.1895-1898|共4页
会议地点 Singapore
作者
Ondusko; R.; Marbach; M.; McClellan; A.; Ramachandran; R.P.; Head; L.M.; Huggins; M.C.; Smolenski; B.Y.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
AWGN; blind source separation; error statistics; pattern recognition; speaker recognition; vector quantisation; additive white Gaussian noise; blind SNR estimation; linear predictive features; pattern recognition; pink noise; signal to noise ratio; speaker identific;

机译：AWGN；盲源分离错误统计；模式识别;说话人识别；矢量量化加性高斯白噪声； SNR盲估计线性预测特征；模式识别;粉红噪音信噪比；说话人身份;

相似文献

外文文献
中文文献
专利

1. Blind Signal-to-Noise Ratio Estimation of Speech Based on Vector Quantizer Classifiers and Decision Level Fusion [J] . Ondusko Russell, Marbach Matthew, Ramachandran Ravi P., Journal of VLSI signal processing systems . 2017,第2期

机译：基于矢量量化器和决策水平融合的语音盲信噪比估计
2. Reverberation time estimation from speech signals based on blind room impulse response identification (L) [J] . Wu Lifu, Qiu Xiaojun, Burnett Ian, The Journal of the Acoustical Society of America . 2015,第2期

机译：基于盲室冲激响应识别的语音信号混响时间估计（L）
3. Blind separation of underdetermined Convolutive speech mixtures by time-frequency masking with the reduction of musical noise of separated signals [J] . Zohrevandi Mahbanou, Setayeshi Saeed, Rabiee Azam, Multimedia Tools and Applications . 2021,第8期

机译：通过时频掩模在减少分离信号的音乐噪声的时频掩模盲分离
4. Blind Determination of the Signal to Noise Ratio of Speech Signals Based on Estimation Combination of Multiple Features [C] . Russell Ondusko, Matthew Marbach, Andrew McClellan, IEEE Asia Pacific Conference on Circuits and Systems . 2006

机译：基于多个特征的估计组合，盲确定语音信号的信噪比
5. The signal-to-noise ratio estimation in dispersive absorption spectrometry and new quantitative methods based on the signal-to-noise ratio theory. [D] . Fu, Chifan Thomas. 1998

机译：色散吸收光谱法中的信噪比估算和基于信噪比理论的新定量方法。
6. Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals [O] . Hariharan Muthusamy, Kemal Polat, Sazali Yaacob -1

机译：基于粒子群优化的特征增强和特征选择用于语音和声门信号中的情感识别
7. Neural Network Classifiers and Principal Component Analysis for Blind Signal to Noise Ratio Estimation of Speech Signals [O] . Matthew Marbach, Russell Ondusko, Ravi P. Ramach, 2014

机译：语音信号盲信噪比估计的神经网络分类器和主成分分析

Blind Determination of the Signal to Noise Ratio of Speech Signals Based on Estimation Combination of Multiple Features

摘要

著录项

相似文献

相关主题

期刊订阅