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- 录制一段个人的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用双线性变换法和窗函数法设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。-Record a personal voice signal, and recording the signal is sampled draw sampled
Digital_Signal_Processing_Fundamentals_and_Applic
- Digital_Signal_Processing_Fundamentals_and_Applications This book introduces concepts of digital signal processing (DSP) and reviews an overall picture of its applications. Illustrative application examples include digital noise filtering, signal f
HM9270
- HM9270双音多频接收解码器详细资料,适用于电话语音解码应用.-HM9270 dual-tone multi-frequency receiver decoder details, applies to telephone speech decoding applications.
Abdul_Syafiq_Abdull_Sukor
- the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method
matlab
- 语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
voise
- 语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
YilmazRickard2004
- BLIND SOURCE SEPARATION IN THE TIME FREQUENCY DOMAIN TECHBIQUES FOR SPEECH
mfcc
- 在语音辨识（Speech Recognition）和语者辨识（Speaker Recognition）方面，最常用到的语音特征就是「梅尔倒频谱系数」（Mel-scale Frequency Cepstral Coefficients，简称MFCC），此参数考虑到人耳对不同频率的感受程度，因此特别适合用在语音辨识。
tain
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarit
tese
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarit
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
4413sipij08_2
- FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of usin
ondelette
- Signal processing front end for extracting the feature set is an important stage in any speech recognition system. The optimum feature set is still not yet decided. There are many types of features, which are derived differently and have good
Bluetooth_Full_Duplex
- Simulink® and Stateflow® model of a full duplex Bluetooth communication link transmitting HV1, HV2, HV3, and SCORT [1] voice packets, and DM1 data packets. A system parameters block configures the whole model s packet type, slot pair and chan
guji
- 基于Hilbert-Huang变换的语音信号共振峰频率估计，一种对语音信号的分析方法-Based on the Hilbert Huang transform of speech signal formant frequency estimation, a method on the analysis of the speech signal
Digital-Signal-Processing
- 包括语音信号的模型，语音信号的短时时域分析和频域分析-Including short-term time domain and frequency domain analysis of the speech signal analysis model, the speech signal
DSP
- MATLAB软件平台下，利用函数wavread对语音信号进行采样，记住采样频率和采样点数； 2）画出语音信号的时域波形，对采样后的语音进行fft变换，得到信号的频谱特性；对语音信号分别加入正弦噪声和白噪声，画出加噪信号的时域波形和频谱图； 3）根据对加噪语音信号谱分析结果，确定滤除噪声滤波器的技术指标，设计合适的数字滤波器，并画出滤波器的频域响应； 4）用所设计的滤波器对加噪的信号进行滤波，在同一个窗口画出滤波前后信号的时域图和频谱图，对滤波前后的信号进行对比，分析信号变化； -
1
- 语音信号的延时和混响 1）利用Windows下的录音机或其他软件，录制一段自己的语音信号，时间控制在1s左右，并对录制的信号进行采样； 2）语音信号的频谱分析，画出采样后语音信号的时域波形和频谱图； 3）将信号加入延时和混响，再分析其频谱，并与原始信号频谱进行比较； 4）设计几种特殊类型的滤波器：单回声滤波器，多重回声滤波器，全通结构的混响器，并画出滤波器的频域响应； 5）用自己设计的滤波器对采集的语音信号进行滤波； 6）分析得到信号的频谱，画出滤波后信号的时域波形和频谱
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
04721349
- Speech Based Watermarking for Digital Images This paper presents a novel scheme of watermarking of digital images for copyright protection and authentication. In this paper we proposed a method of embedding owner’s speech signal. Speech being