spafe | : sound : spafe : Simplified Python Audio Features Extraction | Audio Utils library

 by   SuperKogito Python Version: 0.3.3 License: BSD-3-Clause

kandi X-RAY | spafe Summary

kandi X-RAY | spafe Summary

spafe is a Python library typically used in Audio, Audio Utils applications. spafe 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 spafe' or download it from GitHub, PyPI.

[codebeat badge] spafe aims to simplify features extractions from mono audio files. The library can extract of the following features: BFCC, LFCC, LPC, LPCC, MFCC, IMFCC, MSRCC, NGCC, PNCC, PSRCC, PLP, RPLP, Frequency-stats etc. It also provides various filterbank modules (Mel, Bark and Gammatone filterbanks) and other spectral statistics.
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              spafe has a low active ecosystem.
              It has 354 star(s) with 63 fork(s). There are 7 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 0 open issues and 41 have been closed. On average issues are closed in 324 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spafe is 0.3.3

            kandi-Quality Quality

              spafe has 0 bugs and 0 code smells.

            kandi-Security Security

              spafe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spafe code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spafe is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spafe releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              spafe saves you 1786 person hours of effort in developing the same functionality from scratch.
              It has 3949 lines of code, 215 functions and 54 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spafe and discovered the below as its top functions. This is intended to give you an instant insight into spafe implemented functionality, and help decide if they suit your requirements.
            • Plot Mel filter banks
            • Convert from hz to bark
            • Convert hz to Mel
            • Convert hz to rb
            • Compute tick function
            Get all kandi verified functions for this library.

            spafe Key Features

            No Key Features are available at this moment for spafe.

            spafe Examples and Code Snippets

            No Code Snippets are available at this moment for spafe.

            Community Discussions

            QUESTION

            import error when using spafe library for feature extraction
            Asked 2020-Apr-03 at 13:33

            I ' am working on audio file and need to use spafe library for lfcc, lpc... and i install the library as mentionned in the site : https://spafe.readthedocs.io/en/latest/

            But when i try to extract some features , like lfcc, mfcc, lpc, i have import error par example when i use this code :

            ...

            ANSWER

            Answered 2020-Apr-03 at 13:33

            There seems to be a typo in the docs example (which I guess tou are trying to follow); it should be

            Source https://stackoverflow.com/questions/61012650

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

            Vulnerabilities

            No vulnerabilities reported

            Install spafe

            If you already have a working installation of numpy and scipy, you can simply install spafe using pip:.

            Support

            Contributions are welcome and encouraged. To learn more about how to contribute to spafe please refer to the [Contributing guidelines](https://github.com/SuperKogito/spafe/blob/master/CONTRIBUTING.md).
            Find more information at:

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            Install
          • PyPI

            pip install spafe

          • CLONE
          • HTTPS

            https://github.com/SuperKogito/spafe.git

          • CLI

            gh repo clone SuperKogito/spafe

          • sshUrl

            git@github.com:SuperKogito/spafe.git

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