搜索资源列表
auditroy
- 该工具包主要应用于语音处理中听觉模型的建立和分析，其中也包含了语音处理的各种基本功能如语谱图，线性预测，识别和合成等等。-the toolkit will be used in voice processing auditory model and analysis, which also contains a voice of the various basic functions such as language spectra, linear prediction, identificat
maskingthreshold1213
- 自己编的听觉掩蔽的程序，在程序中有说明。-own addendum to the auditory masking procedures, the process is described.
speech-enhancement
- 本资料涵盖了几乎所有的语音增强方面的方法，主要有谱减法，听觉掩蔽，最小均方误差，维纳滤波以及一些非主流的方法，这些对于研究语音增强的人来说是很有帮助的-The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some
mfccc
- MFCC参数很好的反映了人耳的听觉特性,所以在语音识别中我们也用到他,本代码是用matlab仿真了MFCC 参数的提取过程.-MFCC parameters well reflected the auditory characteristics of the human ear, so in speech recognition, we also used him, and this code is used matlab simulation parameters of the MFCC ex
5
- 基于听觉掩蔽的去噪研究 BY Nathalie Virag[1]-Single Channel Speech Enhancement Based on Masking Properties of the Human Auditory System
AcousticSignals
- 这是一个听觉建模的权威性的文章，里面有一个基于人耳听觉特征的建模，语音处理的同学可以看看。-This is an authoritative article in auditory modeling, which has a human auditory-based modeling, students can look at the voice processing.
The-research-of-anti-niose-speech
- 论文首先介绍了传统的语音特征参数MFCC，它是基于人耳听觉 特性设计的一种特征参数，在静音环境下能得到较高的识别率，但在 信噪比较低时识别率急剧下降，不利于实用化。本文通过对MFCC算 法的分析和研究，发现其中的FFT和DCT在整个时频空间使用固定的 。分析窗，这不符合语音信号特性，而小波变换具有多分辨率特性，更 符合人耳的听觉特性。因此，本文将小波变换和MFCC算法相结合， 提出了三种新的语音识别特-Speech recognition has wide use in
_Cochleagram-Toolbox
- Auditory analysis toolbox for matlab
Auditory-filter-bank-base-on-ivariant--Frequency.
- repor weekly by VTT Speech processing
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
TTS_Demos
- 音响设备接口（SDI）是专为听觉显示，或AUI（音频用户界面），这已被证明是很好的补充GUI（图形用户界面）学术。目前，SDI实现两个Sound对象：语音和听觉符号为例。言语是在3D世界中的定位语音合成相结合的ViaVoice TTS和，A3D一起。在学术上，这种定位可以帮助用户挑选出所需要的信息，两个同时“显示”的声音。这是所谓的“鸡尾酒会效应”。此外，它可以提高存储器中，添加的位置系数对每一个声音。听觉符号为例，从字面上看，可以显示听觉符号为例容易。听觉符号为例是怎么样的音乐modif，图标
code
- 计算听觉场景分析目前用于语音增强的一种比较好的方法，利用人耳的听觉特性-Computational Auditory Scene Analysis
speech-enhancement-algorithms
- 这是一篇期刊。里面详细介绍了一种将多频带谱减和听觉掩蔽系统结合的语音增强算法，增强效果比较好，可供大家参考学习。-This is a journal. Which details a multi-band spectral subtraction and auditory masking system combines speech enhancement algorithms to enhance better, for your reference study.
speech-enhancement-
- 语音增强算法，基于人耳听觉掩蔽的维纳滤波-Subspace speech enhancement algorithm based on human auditory masking Wiener filter
speech--enhancment-code
- 基于人耳听觉掩蔽维纳滤波的matlab代码-Based on the human auditory masking Wiener filter matlab code
Speech-recognition
- MFCC参数是基于人的听觉特性利用人听觉的屏蔽效应，在Mel标度频率域提取出来的倒谱特征参数。-MFCC parameters is based on human auditory characteristics using human auditory masking effect, in Mel scale frequency domain parameters of cepstrum.
ecg_extraction
- KARDIA was developed in Matlab programming language and runs on recent Matlab releases (2007 or later) on all supported operating systems (Mac OS X, Unix and Windows). KARDIA allows interactive importing and visualization of both IBI data an
AuditoryToolbox
- Matlab Toolbox for Auditory
amtoolbox-full-0.9.8
- Matlab toolbox amtoolbox