key_words_spotting | implementation of EFFICIENT KEYWORD SPOTTING USING

 by   danFromTelAviv Python Version: Current License: GPL-3.0

kandi X-RAY | key_words_spotting Summary

kandi X-RAY | key_words_spotting Summary

key_words_spotting is a Python library. key_words_spotting has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However key_words_spotting build file is not available. You can download it from GitHub.

implementation of "EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING"
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            kandi-support Support

              key_words_spotting has a low active ecosystem.
              It has 23 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              key_words_spotting has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of key_words_spotting is current.

            kandi-Quality Quality

              key_words_spotting has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              key_words_spotting is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              key_words_spotting releases are not available. You will need to build from source code and install.
              key_words_spotting has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              key_words_spotting saves you 72 person hours of effort in developing the same functionality from scratch.
              It has 187 lines of code, 16 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed key_words_spotting and discovered the below as its top functions. This is intended to give you an instant insight into key_words_spotting implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Train the training loop
            • Return a batch of MfCCs and labels
            • Concatenate multiple MFCCs
            • Shuffle the samples
            • Weighted L1 loss
            • Prepare audio files
            • Convert waveforms to MfCC
            • Ensures that the MfCC path exists
            Get all kandi verified functions for this library.

            key_words_spotting Key Features

            No Key Features are available at this moment for key_words_spotting.

            key_words_spotting Examples and Code Snippets

            No Code Snippets are available at this moment for key_words_spotting.

            Community Discussions

            No Community Discussions are available at this moment for key_words_spotting.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install key_words_spotting

            You can download it from GitHub.
            You can use key_words_spotting 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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            CLONE
          • HTTPS

            https://github.com/danFromTelAviv/key_words_spotting.git

          • CLI

            gh repo clone danFromTelAviv/key_words_spotting

          • sshUrl

            git@github.com:danFromTelAviv/key_words_spotting.git

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