mir_eval | Evaluation functions for music/audio information retrieval | Speech library

by craffel Python Version: 0.7 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mir_eval Summary

mir_eval is a Python library typically used in Artificial Intelligence, Speech applications. mir_eval has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install mir_eval' or download it from GitHub, PyPI.

Evaluation functions for music/audio information retrieval/signal processing algorithms.

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mir_eval has a low active ecosystem.

It has 512 star(s) with 100 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 37 open issues and 199 have been closed. On average issues are closed in 20 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mir_eval is 0.7

Quality

mir_eval has 0 bugs and 0 code smells.

Security

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

mir_eval code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mir_eval 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

mir_eval releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Calculate the confidence interval for each beat
Validates that the input_sources are valid
Calculate metric variations
Validates event locations
R Calculate the scores for the given reference set
Calculate the kara - Perceptual metric
Filters out the kwargs in the given function
Calculate the absolute absolute error
Calculate the percentage corrections based on reference timestamps
Compute precision recall
Plot the separation of sources
Plot multiple times and frequencies
Generate a random index for the cluster
Compute pairwise correlation matrix
Compute mutual information of the mutual information
Compute the tmeasure distance between two time series
Compute the occurrence frequency matrix
Plot pitch
Compute the metrics for the given reference times
Framewise bss_eval_sources
Framewise bss_eval_images
Convenience function to create centrical pricing
Plot events at times
Calculate the Goto s score
Compute precision recall overlap between reference notes
Plot a series of intervals

Get all kandi verified functions for this library.

mir_eval Key Features

No Key Features are available at this moment for mir_eval.

mir_eval Examples and Code Snippets

No Code Snippets are available at this moment for mir_eval.

Community Discussions

Trending Discussions on mir_eval

mir_eval library returns inf SIR

QUESTION

mir_eval library returns inf SIR

Asked 2019-Sep-12 at 15:12

I'm using mir_eval( https://craffel.github.io/mir_eval/ ) for evaluating some voices in terms of SDR, SIR, and SAR but only the SDR part is working and for any kind of input the output is inf for SIR and SAR has the same value as SDR. By the way, I'm working on speaker source separation and the interference of estimated sources could not be zero to expect an inf SIR.

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ANSWER

Answered 2019-Sep-12 at 15:12

This happens when you only give the function one reference signal and one reference source and one estimation source. You need to give at least two of each stacked into a matrix, so that it can calculate the proper measurements.

Source https://stackoverflow.com/questions/57338183

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

Vulnerabilities

No vulnerabilities reported

Install mir_eval

You can install using 'pip install mir_eval' or download it from GitHub, PyPI.
You can use mir_eval 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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