AudioProcessor | Java library for speech enhancement | Speech library

by alexanderchiu Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | AudioProcessor Summary

AudioProcessor is a Java library typically used in Artificial Intelligence, Speech applications. AudioProcessor has no vulnerabilities, it has a Permissive License and it has low support. However AudioProcessor has 4 bugs and it build file is not available. You can download it from GitHub.

Java library for speech enhancement. [1] Forward Backward Decision Directed Approach For Speech Enhancement Richard C. Hendriks, Richard Heusdens and Jesper Jensen [2] Ephraim, Y.; Malah, D., "Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator," Acoustics, Speech and Signal Processing, IEEE Transactions on , vol.32, no.6, pp.1109,1121, Dec 1984 doi: 10.1109/TASSP.1984.1164453 [3] ComplexNumber library by Abdul Fatir [4] SpecialMath library by JScience [5] WavFile IO class by A.Greensted [6] MMSE STSA by Esfandiar Zavarehei

Support

Quality

Security

License

Reuse

Support

AudioProcessor has a low active ecosystem.

It has 21 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

AudioProcessor has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AudioProcessor is current.

Quality

AudioProcessor has 4 bugs (0 blocker, 0 critical, 0 major, 4 minor) and 107 code smells.

Security

AudioProcessor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

AudioProcessor code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

AudioProcessor is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

AudioProcessor releases are not available. You will need to build from source code and install.

AudioProcessor has no build file. You will be need to create the build yourself to build the component from source.

AudioProcessor saves you 533 person hours of effort in developing the same functionality from scratch.

It has 1250 lines of code, 102 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed AudioProcessor and discovered the below as its top functions. This is intended to give you an instant insight into AudioProcessor implemented functionality, and help decide if they suit your requirements.

Entry point of the WAV file
Performs speech deoising on an array of doubles
Open a WAV file
Instantiate a WAVFile
Print the mean
Returns the mean of a multidimensional array across multiple axis
Main entry point
Parses a string into a complex number
Computes the power of the given complex number
Returns a string representation of the complex number
Prints the Zessel function

Get all kandi verified functions for this library.

AudioProcessor Key Features

No Key Features are available at this moment for AudioProcessor.

AudioProcessor Examples and Code Snippets

No Code Snippets are available at this moment for AudioProcessor.

Community Discussions

Trending Discussions on AudioProcessor

Fixing "shaky" pitch detection in Kotlin using TarsosDSP

How can I import a module into an AudioWorkletProcessor that is changed elsewhere?

Detecting frequency lower than 40 hz using TarsosDSP java android

QUESTION

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:

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ANSWER

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

QUESTION

How can I import a module into an AudioWorkletProcessor that is changed elsewhere?

Asked 2020-May-05 at 21:34

I'm trying to change a value that is used by an AudioWorkletProcessor from another module, but from the context of the AudioWorkletProcessor, the value doesn't change and just stays the same. But from the module that modifies the data, when queried upon the data has in fact changed there. It's like there is a completely separate instance/state of the module that holds the data (functions.js) for the modifier (main.js) and the reader (audio-processor.js)

Here we have audio-processor.js

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ANSWER

Answered 2020-Apr-07 at 07:18

You're already on the right track. To change a value inside your AudioWorkletProcessor you can either use a custom AudioParam or send a message over the MessagePort.

The reason why your code doesn't work is that you technically end up with two instances of the same module. The AudioWorkletProcessor runs on a different thread and has no access to the modules that are loaded on the main thread. Therefore /src/functions.js gets loaded twice. One instance is living on the main thread and the other one is living on the audio thread. Each of them doesn't know that the other exists.

Source https://stackoverflow.com/questions/61070615

QUESTION

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.

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ANSWER

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

Vulnerabilities

No vulnerabilities reported

Install AudioProcessor

You can download it from GitHub.
You can use AudioProcessor 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 AudioProcessor 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 .

Support

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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