noise_reduction | Speech noise reduction | Speech library

by dodiku HTML Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | noise_reduction Summary

noise_reduction is a HTML library typically used in Artificial Intelligence, Speech applications. noise_reduction has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

See test results on:

Support

Quality

Security

License

Reuse

Support

noise_reduction has a low active ecosystem.

It has 165 star(s) with 56 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of noise_reduction is current.

Quality

noise_reduction has no bugs reported.

Security

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

License

noise_reduction 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.

Reuse

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of noise_reduction

Get all kandi verified functions for this library.

noise_reduction Key Features

No Key Features are available at this moment for noise_reduction.

noise_reduction Examples and Code Snippets

No Code Snippets are available at this moment for noise_reduction.

Community Discussions

Trending Discussions on noise_reduction

How to apply gradient/magnitude to an image using OpenCV?

Difference in audio sample size between AVCodecContext->frame_size and AVFrame->nb_samples

QUESTION

How to apply gradient/magnitude to an image using OpenCV?

Asked 2021-May-27 at 16:22

I'm currently following this tutorial as part of an university assignment where we are supposed to implement canny edge detection ourselfes. Applying the gaussian blur worked without any problems but now I'm trying to display the magnitude intensity as shown on the website.

I implemented the functions as seen on the mentioned website and created a function for running the canny edge detection. Currently this is what the function looks like:

...

ANSWER

Answered 2021-May-27 at 16:22

I think there might be an issue with ndimage.filters.convolve. I got similar results as you. But the following seems to work fine using Python/OpenCV

Input:

Source https://stackoverflow.com/questions/67706336

QUESTION

Difference in audio sample size between AVCodecContext->frame_size and AVFrame->nb_samples

Asked 2021-Mar-20 at 11:30

I am playing with ffmpeg to understand audio data, but I see there is a difference between audio data, AVCodecContext->frame_size shows it to be 1152, but the value I get fromAVFrame->nb_samples shows it to be 47. Both data fields describes the same thing i.e no of samples in an audio frame per channel, then why is there a difference. For reference I m pasting the AVFrame and AVCodecContext Object, which are huge, but also it will give you any information you wanted

AVCodecContext

...

ANSWER

Answered 2021-Mar-20 at 11:30

For MP3 the first 1105 samples are decoder delay, leaving 47 samples returned out of 1152. See How to compute the number of extra samples added by LAME or FFMPEG

Source https://stackoverflow.com/questions/66720676

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

Vulnerabilities

No vulnerabilities reported

Install noise_reduction

You can download it from GitHub.

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 .

Find more information at: