Description: 波形和频谱双显示
记录讲话直接进入MATLAB
手动分割讲话波形-创建标签文件
波形编辑-切割，复制或粘贴
共振峰分析-显示共振轨道的F1 ， F2和F3
基音分析
过滤工具-语音信号滤波器截止频率
比较工具-比较两个波形的频谱距离使用几种措施
增加噪声-Dual time-waveform and spectrogram displays
Records speech directly into MATLAB NEW
Displays time-aligned phonetic transcriptions [e.g., TIMIT s .phn files]- see example Figure above
Manual segmentation of speech waveforms- creates label files which can be used to train speech recognition systems
Waveform editing- cutting, copying or pasting speech segments
Formant analysis- displays formant tracks of F1, F2 and F3
Pitch analysis
Filter tool- filters speech signal at cutoff frequencies specified by the user
Comparison tool- compares two waveforms using several spectral distance measures
Speech degradation- adds noise to the speech signal at an SNR specified by the us Platform: |
Size: 1180672 |
Author:wsw |
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Description: 语音信号基本的处理，包括spectrogram和specgram两个函数的比较-The basic speech signal processing, including spectrogram and specgram comparison of the two functions Platform: |
Size: 36864 |
Author:雅芳 |
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Description: 对原始语音进行上采样和下采样，分析对比他们的时域图和频谱图。最后对比原始语音、75HZ激励、150HZ激励以及噪声激励下的效果-SOME SIMPLE MANIPULATIONS OF SOUND USING DIGITAL SIGNAL PROCESSING
The original sound and its spectrogram
Downsampling the waveform
downsampling
Upsampling the waveform
Linear filtering the waveform
Original speech
The source-filter model of speech
Speech with 75-Hz excitation
Speech with 150-Hz excitation
Speech with noise excitation Platform: |
Size: 50176 |
Author:coco |
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Description: A speech signal filterbank, using melscale frequency and framebanking.- 1. For speech signal can be represented as a discrete sequence of frames (or feature vectors) that can be used as the input to a speech recogniser. Important ideas and techniques that are used in the assignment are the design of a (Mel frequency scale) audio filterbank, , windowing of a continuous audio signal, spectrum analysis of the signal, filtering as multiplication in the frequency domain, the visual representation of a speech signal as a spectrogram, appreciation of the acoustic variability in real speech utterances.
2. To gain a deeper knowledge of the application of MATLAB programming to audio signal processing.
3. To gain practice in the art of writing a formal report: structure, content, style, use of diagrams, presentation etc. etc.
Platform: |
Size: 3072 |
Author:Yijian Lou |
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Search - spectrogram for a speech signal