TarsosDSP | A Real-Time Audio Processing Framework in Java

 by   JorenSix Java Version: 2.4-1 License: No License

kandi X-RAY | TarsosDSP Summary

kandi X-RAY | TarsosDSP Summary

TarsosDSP is a Java library. TarsosDSP has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub, Maven.

A Real-Time Audio Processing Framework in Java

            kandi-support Support

              TarsosDSP has a medium active ecosystem.
              It has 1695 star(s) with 447 fork(s). There are 101 watchers for this library.
              It had no major release in the last 12 months.
              There are 104 open issues and 78 have been closed. On average issues are closed in 64 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of TarsosDSP is 2.4-1

            kandi-Quality Quality

              TarsosDSP has 0 bugs and 0 code smells.

            kandi-Security Security

              TarsosDSP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              TarsosDSP code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              TarsosDSP does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              TarsosDSP releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              TarsosDSP saves you 13765 person hours of effort in developing the same functionality from scratch.
              It has 27606 lines of code, 1576 functions and 252 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed TarsosDSP and discovered the below as its top functions. This is intended to give you an instant insight into TarsosDSP implemented functionality, and help decide if they suit your requirements.
            • 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 .
            Get all kandi verified functions for this library.

            TarsosDSP Key Features

            No Key Features are available at this moment for TarsosDSP.

            TarsosDSP Examples and Code Snippets

            No Code Snippets are available at this moment for TarsosDSP.

            Community Discussions


            Fixing "shaky" pitch detection in Kotlin using TarsosDSP
            Asked 2020-Nov-12 at 21:17

            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:



            Answered 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)

            Source https://stackoverflow.com/questions/64778670


            Frequency filter on audio played by AudioTrack in Android?
            Asked 2020-Oct-15 at 11:14

            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.



            Answered 2020-Oct-15 at 11:14

            Ended up using TarsosDSP only. Was unable to find other better libraries than that

            Source https://stackoverflow.com/questions/63682322


            TarsosDSP Android applying lowpass filter and saving to wav gives choppy results
            Asked 2020-Sep-16 at 03:49

            I am using TarsosDSP library to apply a low pass filter on a wav file. Here is the code.



            Answered 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.

            Source https://stackoverflow.com/questions/63792569


            Detecting frequency lower than 40 hz using TarsosDSP java android
            Asked 2020-Feb-04 at 15:50

            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.



            Answered 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.)

            To lower 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.

            Source https://stackoverflow.com/questions/60046129

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install TarsosDSP

            You can download it from GitHub, Maven.
            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 .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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