wavepad | experimental synthesizer built using the Web Audio API | Audio Utils library

by alexgibson JavaScript Version: Current License: Non-SPDX

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

kandi X-RAY | wavepad Summary

wavepad is a JavaScript library typically used in Audio, Audio Utils applications. wavepad has no bugs, it has no vulnerabilities and it has low support. However wavepad has a Non-SPDX License. You can download it from GitHub.

An experimental synthesizer built using the [Web Audio API] written in ES6 and compiled using [Babel] Works offline using Service Worker.

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Quality

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Support

wavepad has a low active ecosystem.

It has 132 star(s) with 19 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 78 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wavepad is current.

Quality

wavepad has no bugs reported.

Security

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

License

wavepad has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Installation instructions, examples and code snippets are available.

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wavepad Key Features

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wavepad Examples and Code Snippets

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Community Discussions

Trending Discussions on wavepad

Split audio files using silence detection

Automate tasks with python

QUESTION

Split audio files using silence detection

Asked 2019-Jul-20 at 15:27

I've more than 200 MP3 files and I need to split each one of them by using silence detection. I tried Audacity and WavePad but they do not have batch processes and it's very slow to make them one by one.

The scenario is as follows:

split track whereas silence 2 seconds or more
then add 0.5 s at the start and the end of these tracks and save them as .mp3
BitRate 192 stereo
normalize volume to be sure that all files are the same volume and quality

I tried FFmpeg but no success.

...

ANSWER

Answered 2019-Apr-17 at 13:43

I found pydub to be easiest tool to do this kind of audio manipulation in simple ways and with compact code.

You can install pydub with

Source https://stackoverflow.com/questions/45526996

QUESTION

Automate tasks with python

Asked 2019-Feb-21 at 08:21

I am looking for a way to automate tasks in external programs with python.

I have large audio files in AAC format. I need to convert them to mp3, and then amplify them (avoiding the distortion).

I wrote a program with the pydub librarie that works great with small files, but my files ar too large (longer than 2hs or 200mb) and i run out of memory (because that lib store the full files in RAM, i think). I can't split the file in chunks because i could not merge them again for the previous reason, and i need the file in one piece.

So, i would like to write a program that open another program to convert the file to mp3 (mediahuman audio converter) and then, amplify the converted file with another program (WavePad audio editor) but i don't know if is this possible.

In the present, i'm doing that manually, but that takes a long time of waiting and requires less than 10 clicks (spread throughout the process), wich is tedious.

I leave the program i wrote. I transcribed it to remove some functions that are not relevant and are not related to this process, plus I translated the comments, variables and other things into English, so it may have some errors but the original program works well:

...

ANSWER

Answered 2019-Feb-21 at 08:21

As agreed in comments, as a solution I am going to propose using a command line tool: FFmpeg. Here's the command you need:

ffmpeg -i input-file.aac -b:v 128k -filter:a loudnorm output.mp3

using loudnorm. You can also apply gain directly as explained in the docs, but one should expect inferior results. Normalization can be done in number of ways, I suggest reading this post.

By combining it with e.g. find . -name '*.wav' -type f you can easily find and convert all files in a directory tree.

If you're bent on using Python, you can check Python bindings. Basics:

Source https://stackoverflow.com/questions/54792349

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

Vulnerabilities

No vulnerabilities reported

Install wavepad

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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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