kandi X-RAY | TarsosDSP Summary
kandi X-RAY | TarsosDSP Summary
A Real-Time Audio Processing Framework in Java
Top functions reviewed by kandi - BETA
- Convert a matrix to a J matrix .
- Creates the button panel .
- Process the input samples .
- Writes the spectrum to file .
- Reads the next audio block .
- Returns a TarsOSD float converter .
- Generate a waveform sound .
- Builds standard set up features .
- Returns a string representation of this sample .
- Calculate the features .
TarsosDSP Key Features
TarsosDSP Examples and Code Snippets
Trending Discussions on TarsosDSP
I am writing an instrument tuner app (for now starting with Guitar). For pitch detection I'm using TarsosDSP. It does detect the pitch correctly, however it is quite shaky - for example, I'll hit the (correctly tuned) D string on my Guitar, it correctly recognizes it as a D, but after a short moment it cycles through a bunch of random notes very quickly. I'm not sure how to best solve this. Here is my code which is responsible for detecting the pitch:...
ANSWERAnswered 2020-Nov-12 at 21:17
Solved it myself: TarsosDSP calculates a probability with every note being played. I set my
closestNote function to only update the text if the probability is > 0.91 (I found that value to offer "stability" in terms of text not changing after hitting a string and still correctly recognizing the note without hitting the string multiple times/too hard, also tested it with an unplugged, non hollow body electric Guitar)
I am receiving audio via Bluetooth and also playing it live. I have achieved this by AudioTrack class in Android studio. I used the equalizer class in Android but it cuts the frequency of certain bands only. Eg it only cuts 460-1800 hz on the phone that I am testing. But I want to cut 500hz-1500hz as a bandpass filter does. I have been stuck on this problem for quite a few days now.
I know its possible because I have seen it in other apps eg. Stemoscope
At least point me in some direction. I tried to use TarsosDSP but I can't get any good resources on that and when I used it the output was corrupted and I wasn't able to fix it. I can't seem to find any other library. I can share the code if anyone interested....
ANSWERAnswered 2020-Oct-15 at 11:14
Ended up using TarsosDSP only. Was unable to find other better libraries than that
I am using TarsosDSP library to apply a low pass filter on a wav file. Here is the code....
ANSWERAnswered 2020-Sep-16 at 03:49
This issue is solved now! The TarsosDSP does not support dual-channel audio processing so the algorithm was getting confused with two channels of audio and thus giving the choppy results.
I am making an Android mobile app, where I have been trying to detect pitch using TarsosDSP. Which has been working great, only if it is greater than 43hz. But I have a requirement to make it work with 40hz. When I play the sound, it doesn't even give results below 43. This is where you can generate a tune online with the desired frequency. here is the code....
ANSWERAnswered 2020-Feb-04 at 15:50
This sounds like a limitation of the FFT that Tarsos uses internally. FFTs split detected sounds into one of several frequency "bins". The center frequency of each bin is a function of:
- The sample rate, and:
- The width (in samples) of the FFT.
For a 22050Hz sample rate, with a 1024 sample wide FFT:
Fmin = 22050 / 1024 * 2 = 43.066Hz
Fmin is the center frequency of the second-lowest "bin". Apparently that is the lowest frequency the algorithm can detect.)
Fmin, A.) decrease your sample rate, or B.) increase the width of the FFT:
Fmin = 16000 / 1024 * 2 = 31.25Hz
Fmin = 22050 / 2048 * 2 = 21.53Hz
Be sure to stick to powers of 2 for the FFT width, and approved valid settings for the sample rate.
No vulnerabilities reported
You can use TarsosDSP like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the TarsosDSP component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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