Extract Voices from Music Signal
Implement a basic digital music synthesizer and use it to play a traditional song in a three-voice arrangement. Specify a sample rate of 2 kHz. Save the song as a MATLAB® timetable.
fs = 2e3; t = 0:1/fs:0.3-1/fs; l = [0 130.81 146.83 164.81 174.61 196.00 220 246.94]; m = [0 261.63 293.66 329.63 349.23 392.00 440 493.88]; h = [0 523.25 587.33 659.25 698.46 783.99 880 987.77]; note = @(f,g) [1 1 1]*sin(2*pi*[l(g) m(g) h(f)]'.*t); mel = [3 2 1 2 3 3 3 0 2 2 2 0 3 5 5 0 3 2 1 2 3 3 3 3 2 2 3 2 1]+1; acc = [3 0 5 0 3 0 3 3 2 0 2 2 3 0 5 5 3 0 5 0 3 3 3 0 2 2 3 0 1]+1; song = [];forkj = 1:length(mel) song = [song note(mel(kj),acc(kj)) zeros(1,0.01*fs)];endsong = song'/(max(abs(song))+0.1);% To hear, type sound(song,fs)tune = timetable(seconds((0:length(song)-1)'/fs),song);
OpenSignal Analyzerand drag the timetable from theWorkspace Browserto the Signal table. ClickDisplay Gridto create a two-by-two grid of displays. Add a spectrum view to the top two displays and the lower left display. Select the lower right display, clickTime-Frequencyto add a spectrogram view, and clickTimeto remove the time view. Drag the song to all four displays. Select the lower right display, and on theSpectrogramtab, specify a time resolution of0.31
second (310 ms) and0
% overlap between adjoining segments. Set thePower Limitsto–50
dB and–10
dB.
On the分析仪tab, clickDuplicate三次创建三个副本的歌。再保险name the copies ashigh
,medium
, andlow
by double-clicking theNamecolumn in the Signal table. Move the copies to the top two and lower left displays.
Preprocess the duplicate signals using filters.
Select the
high
signal by clicking its name in the Signal table. On the分析仪tab, selectHighpassfrom thePreprocessinggallery. On theHighpasstab that appears, enter a passband frequency of450
Hz and increase the steepness to0.95
. ClickHighpass.Select the
medium
signal by clicking its name in the Signal table. On the分析仪tab, selectBandpassfrom thePreprocessinggallery. On theBandpasstab that appears, enter230
Hz and450
Hz as the lower and upper passband frequencies, respectively. Increase the steepness to0.95
. ClickBandpass.Select the
low
signal by clicking its name in the Signal table. On the分析仪tab, selectLowpassfrom thePreprocessinggallery. On theLowpasstab that appears, enter a passband frequency of230
Hz and increase the steepness to0.95
. ClickLowpass.
View a spectrogram on each of the three displays containing filtered signals.
再保险move the original signal by clearing the check box next to its name.
On theDisplaytab, clickTime-Frequencyto add a spectrogram view and clickTimeto remove the time view.
On theSpectrogramtab, specify a time resolution of
0.31
second and0
% overlap between adjoining segments. Set thePower Limitsto–50
dB and–10
dB.
Select the three filtered signals by clicking theirNamecolumn in the Signal table. On the分析仪tab, clickExportand save the signals to a MAT-file calledmusic.mat
. In MATLAB, load the file to the Workspace. Plot the spectra of the three signals.
loadmusicpspectrum(low) holdonpspectrum(medium) pspectrum(high) holdoff
% To hear the different voices, type% sound(low.low,fs), pause(5), sound(medium.medium,fs), pause(5), sound(high.high,fs)
See Also
Apps
Functions
再保险lated Examples
- Find Delay Between Correlated Signals
- 再保险solve Tones by Varying Window Leakage
- Find Interference Using Persistence Spectrum
- Modulation and Demodulation Using Complex Envelope
- Find and Track Ridges Using Reassigned Spectrogram
- 再保险sample and Filter a Nonuniformly Sampled Signal
- Declip Saturated Signals Using Your Own Function
- Compute Envelope Spectrum of Vibration Signal
- Extract Regions of Interest from Whale Song
More About
- Using Signal Analyzer App
- Edit Sample Rate and Other Time Information
- Data Types Supported by Signal Analyzer
- Spectrum Computation in Signal Analyzer
- Persistence Spectrum in Signal Analyzer
- Spectrogram Computation in Signal Analyzer
- Scalogram Computation in Signal Analyzer
- Keyboard Shortcuts for Signal Analyzer
- Signal Analyzer Tips and Limitations