madmom | Python audio and music signal processing library | Audio Utils library

by CPJKU Python Version: 0.16.1 License: Non-SPDX

X-Ray Key Features Code Snippets(5)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | madmom Summary

madmom is a Python library typically used in Audio, Audio Utils, Numpy applications. madmom has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However madmom has a Non-SPDX License. You can install using 'pip install madmom' or download it from GitHub, PyPI.

Python audio and music signal processing library

Support

Quality

Security

License

Reuse

Support

madmom has a medium active ecosystem.

It has 1092 star(s) with 172 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 45 open issues and 211 have been closed. On average issues are closed in 527 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of madmom is 0.16.1

Quality

madmom has 0 bugs and 0 code smells.

Security

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

madmom code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

madmom 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

madmom releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

madmom saves you 8191 person hours of effort in developing the same functionality from scratch.

It has 16840 lines of code, 1586 functions and 71 files.

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

Top functions reviewed by kandi - BETA

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

Add a parser to the argument parser
Evaluate an annotation file
Display the activations
Resets the HMM
Append another processor
Extend the list of processors
Process a list of activations
Thresholds the activations above the given threshold
Return a flat list of all the notes in the track
Given a list of notes compute the notes in each note
Process an audio stream
Process activations
Process the activations using the viterbi
Process the activations
Process pitch with HMM
Generate a histogram of an interval histogram
Process the spectrogram
Save activations to a text file
Activate the feature vector
Generate a stream of the events
String representation
Compute the similarity between predictions
Detect peaks in activations
Return a string representation of the TPF
Convert a list of evaluation objects into a tex file
Display the tempo histogram

Get all kandi verified functions for this library.

madmom Key Features

No Key Features are available at this moment for madmom.

madmom Examples and Code Snippets

Structure,Pre-extracted features

Python

Lines of Code : 28

License : Permissive (Apache-2.0)

Copy

{
	"chroma_cens": numpy.ndarray,
	"crema": numpy.ndarray,
	"hpcp": numpy.ndarray,
	"key_extractor": {
		"key": numpy.str_,
		"scale": numpy.str_,_
		"strength": numpy.float64
	},
	"madmom_features": {
		"novfn": numpy.ndarray, 
		"onsets": numpy.ndar

Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms,Prerequisites,Installing ffmpeg

Jupyter Notebook

Lines of Code : 9

License : No License

Copy

brew install ffmpeg

add-apt-repository ppa:mc3man/trusty-media
apt-get update
apt-get dist-upgrade
apt-get install ffmpeg

yum install epel-release
rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro
rpm -Uvh http://li.nux.ro/download/nux/

Sample CNN,Prerequisites,Installing ffmpeg

Python

Lines of Code : 9

License : Permissive (MIT)

Copy

brew install ffmpeg

add-apt-repository ppa:mc3man/trusty-media
apt-get update
apt-get dist-upgrade
apt-get install ffmpeg

yum install epel-release
rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro
rpm -Uvh http://li.nux.ro/download/nux/

Convert midi time to bars and beats

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import mido

midi = mido.MidiFile('1079-02.mid')
print(midi.ticks_per_beat)

Python google cloud function deployment failure - Madmom pip package

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

git+https://github.com/CPJKU/madmom.git#egg=madmom
ffmpeg==1.4
flask==1.0.2

Community Discussions

Trending Discussions on madmom

find the timestamp of a sound sample of an mp3 with linux or python

Convert midi time to bars and beats

QUESTION

find the timestamp of a sound sample of an mp3 with linux or python

Asked 2020-Jun-30 at 02:32

I am slowly working on a project which where it would be very useful if the computer could find where in an mp3 file a certain sample occurs. I would restrict this problem to meaning a fairly exact snippet of the audio, not just for example the chorus in a song on a different recording by the same band where it would become more some kind of machine learning problem. Am thinking if it has no noise added and comes from the same file, it should somehow be possible to locate the time at which it occurs without machine learning, just like grep can find the lines in a textfile where a word occurs.

In case you don't have an mp3 lying around, can set up the problem with some music available on the net which is in the public domain, so nobody complains:

...

ANSWER

Answered 2020-Jun-25 at 15:55

MP3 is an interesting format. The underlying data is stored in 'Frames', each 0.026 seconds long. Each frame is a Fast Fourier transform of the sound wave, encoded with varying degrees of quality depending on the size and bitrate, etc.. In your case, are you certain that the mp3s have matching bitrates? If they do, a relatively straightforward grep-style approach should be possible, given that you select on Frame boundaries. However, it is entirely likely and possible that this is not the case.

For a true solution, you need to process the mp3 file to some degree, to abstract away the encoding. However, there is no guarantee that the resulting wave match even for matching sounds, as bitrates and possibly frame alignment may differ. This small degree of chance makes it much harder.

I will give you my approach to this problem, but it is worth noting that this is not the perfect way to do things, just my best swing. Even though its the same file, there's no guarantee that frame boundaries are aligned, so I think you need to take a very wave-oriented approach, rather than a data-oriented one.

First, convert the mp3s to waves. I know that it'd be great to leave it compressed, but again I think wave-oriented is our only hope. Then, use a high-pass filter to try to remove any artifacts of audio compression that would differ between samples. Once you have two waveforms, it should be relatively straight forward to find the wavelet in the wave. You can iterate through possible starting positions and subtract the waves. When you get close to zero, you know you're close.

Source https://stackoverflow.com/questions/62524604

QUESTION

Convert midi time to bars and beats

Asked 2020-Jun-12 at 01:09

I am trying to figure out how to convert from midi time to bars and beats. Here is a sample midi file. If you download that and open the file in a program like GarageBand, you'll see the third track contains four notes in the first bar:

Now if you load the file with mido in Python, you can see the first four notes in the same track:

...

ANSWER

Answered 2020-Jun-12 at 01:09

Praise all things good and holy, mido.MidiFile reads the ticks per beat metadata and stores it in mido.MidiFile.ticks_per_beat:

Source https://stackoverflow.com/questions/62335903

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

Vulnerabilities

No vulnerabilities reported

Install madmom

You can install using 'pip install madmom' or download it from GitHub, PyPI.
You can use madmom like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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