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自编的语音语谱图程序,适用于语音信号处理以及语音增强处理,-self Speech Spectrogram procedures applicable to the speech signal processing and speech enhancement.
Update : 2025-02-19 Size : 1kb Publisher : tang

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
Update : 2025-02-19 Size : 1.13mb Publisher : wsw

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
Update : 2025-02-19 Size : 36kb Publisher : 雅芳

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
Update : 2025-02-19 Size : 49kb Publisher : coco

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.
Update : 2025-02-19 Size : 3kb Publisher : Yijian Lou

A GUI for load and record and ... speech signal and sketching spectrogram.
Update : 2025-02-19 Size : 16kb Publisher : mostafa
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