I have raw midi data generated through a script (in form of note on, note off , velocities etc). I am sending this data to a DAW ( FL Studio and Ableton Live) using LoopMIDI. How do I control say volume of a sound being played in FL Studio or Ableton Live using the value of Note Velocity?
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I writing my code within a Jupyter notebook in VS Code. I am hoping to play some of the audio within my data set. However, when I execute the cell, the console reports no errors, produces the widget, but the widget displays 0:00 / 0:00 (see below), indicating there is no sound to play.
Below, I have listed two ways to reproduce the error.
I have acquired data from the hub data store. Looking specifically at the spoken MNIST data set, I cannot get the data from the audio tensor to play
import hub
from IPython.display import display, Audio
from ipywidgets import interactive
# Obtain the data using the hub module
ds = hub.load("hub://activeloop/spoken_mnist")
# Create widget
sample = ds.audio[0].numpy()
display(Audio(data=sample, rate = 8000, autoplay=True))
The second example is a test (copied from another post) that I ran to see if it was something wrong with the data or something wrong with my console, environment, etc.
# Same imports as shown above
# Toy Function to play beats in notebook
def beat_freq(f1=220.0, f2=224.0):
max_time = 5
rate = 8000
times = np.linspace(0,max_time,rate*max_time)
signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)
display(Audio(data=signal, rate=rate))
return signal
v = interactive(beat_freq, f1=(200.0,300.0), f2=(200.0,300.0))
display(v)
I believe that if it is something wrong with the data (this is a well-known data set so, I doubt it), then only the second one will play. If it is something to do with the IDE or something else, then neither will work, as is the case now.
Apologies for the late reply! In the future, please tag the questions with activeloop so it's easier to sort through (or hit us up directly in community slack -> slack.activeloop.ai).
Regarding the Free Spoken Digit Dataset, I managed to track the error with your usage of activeloop hub and audio display.
adding [:,0] to 9th line will help fixing display on Colab as Audio expects one-dimensional data
%matplotlib inline
import hub
from IPython.display import display, Audio
from ipywidgets import interactive
# Obtain the data using the hub module
ds = hub.load("hub://activeloop/spoken_mnist")
# Create widget
sample = ds.audio[0].numpy()[:,0]
display(Audio(data=sample, rate = 8000, autoplay=True))
(When we uploaded the dataset, we decided to upload the audio as (N,C) where C is the number of channels, which happens to be 1 for the particular dataset. The added dimension wasn't added automatically)
Regarding the VScode... the audio, unfortunately, would still not work (not because of us, but VScode), but you can still try visualizing Free Spoken Digit Dataset (you can play the music there, too). Hopefully this addresses your needs!
Let us know if you have further questions.
Mikayel from Activeloop
I have a simple script that uses music21 to process the notes in a midi file:
import music21
score = music21.converter.parse('www.vgmusic.com/music/console/nintendo/nes/zanac1a.mid')
for i in score.flat.notes:
print(i.offset, i.quarterLength, i.pitch.midi)
Is there a way to also obtain a note's voicing / midi program using a flat score? Any pointers would be appreciated!
MIDI channels and programs are stored on Instrument instances, so use getContextByClass(instrument.Instrument) to find the closest Instrument in the stream, and then access its .midiProgram.
Be careful:
.midiChannel and .midiProgram are 0-indexed, so MIDI channel 10 will be 9 in music21, etc., (we're discussing changing this behavior in the next release)
Some information might be missing if you're not running the bleeding edge version (we merged a patch yesterday on this topic), so I advise pulling from git: pip install git+https://github.com/cuthbertLab/music21
.flat is going to kill you, though, if the file is multitrack. If you follow my advice you'll just get the last instrument on every track. 90% of the time people doing .flat actually want .recurse().
I'm trying to filter a signal and then analyse the values of the filtered signal using Tone.js / Web-Audio API.
I'm expecting to get values of the filtered signal, but I only get -Infinity, meaning that my connections between the nodes are wrong. I've made a small fiddle demonstrating this, however in my use-case I do not want to send this node to the destination of the context - I only want to analyse it, not hear it.
osc.connect(filter)
filter.connect(gainNode)
gainNode.connect(meter)
console.log(meter.getLevel())
I guess you tested the code in Chrome because there is a problem with Chrome which causes it to not process anything until it is connected to the destination. When using Tone.js that means you need to call .toMaster() at the end of your chain. I updated you fiddle to make it work: https://jsfiddle.net/8f7abzoL/.
In Firefox calling .toMaster() is not necessary therefore the following works in Firefox as well: https://jsfiddle.net/yrjgfdtz/.
After some digging I've found out that I need to have a scriptProcessorNode - which is apparently no longer recommended - so looking into Audio Worklet Nodes
I'm a student learning to use MATLAB. For an assignment, I have to create a simple state machine and collect some results. I'm used to using Verilog/Modelsim, and I'd like to collect data only when the state machine's output changes, which is not necessarily every time/sample period.
Right now I have a model that looks like this:
RequestChart ----> ResponseChart ----> Unit Delay Block --> (Back to RequestChart)
| |
------------------------> Mux --> "To Workspace" Sink Block
I've tried setting the sink block to save as "Array" format, but it only saves 51 values. I've tried setting it to "Timeseries", but it saves tons of zero values.
Can someone give me some suggestions? Like I said, MATLAB is new to me, please let me know if I need to clarify my question or provide more information.
Edit: Here's a screen capture of my model:
Generally Simulink will output a sample at every integration step. If you want to only output data when a particular event occurs -- in this case only when some data changes -- then do the following,
run the output of the state machine into a Detect Change block (from the Logic and Bit Operations library)
run that signal into the trigger port of a Triggered Subsystem.
run the output of the state machine into the data port of the Triggered Subsystem.
inside the triggered subsystem, run the data signal into a To Workspace block.
Data will only be saved at time point that the trigger occurs, i.e. when your data changes.
In your Simulink window, make sure the Relative Tolerance is small so that you can generate many more points in between your start and ending time. Click on the Simulation option at the top of the window, then click on Model Configuration Parameters.
From there, change the Relative Tolerance to something small... like 1e-10. After that, try running your simulation again. You should have a lot more points in your output array that you can now save.
I have a 2giga mpeg file of people runnig,jogging,walking etc. in it. I will use it in a image classification project but I need to segmentate the video depending on per person an per action.
for example;
there are 25 people in video which repeat these actions in order
1st person
-runs
-walks
2nd person
-runs
-walks
and goes on....
and what I want is to have 2 different mpeg file for each person
such as;
firstperson_runs.mpeg
firstperson_waves.mpeg
so I need a tool to split big file into these files. Splitting shall be due to time.
such as;
pick t1:start of action
pick t2:end of action
create a new video from big file for the interval t1 and t2
of course I will select time intervals for each video.
OS:Winxp pro
if it can be done by matlab ,can you describe it?
any help???
I imagine there are a number of tools available to do this without MATLAB, but if you really want to use MATLAB I would check out these submissions on The MathWorks File Exchange:
Gerald Dalley's videoIO Toolbox for Matlab
Micah Richert's mmread
David Foti's mpgread and mpgwrite
EDIT:
As mentioned by M456, you can also use the built-in function MMREADER for creating a multimedia reader object for your movie file (and subsequently reading selected movie frames from it with the READ method). However, I don't know which version of MATLAB this function was introduced in. It is in versions 7.7 and 7.8 (R2008b and R2009a, respectively), but it is not in version 7.1.
Matlab can do such video split operations. There are two built in functions (aviread and mmreader) for reading video files. Both will create objects which contain the individual frames of the video. You can save these as separate frames or make a new video out of by using avifile.