TDNN | Time delay neural network implementation | Speech library

 by   cvqluu Python Version: Current License: No License

kandi X-RAY | TDNN Summary

kandi X-RAY | TDNN Summary

TDNN is a Python library typically used in Artificial Intelligence, Speech applications. TDNN has no bugs, it has no vulnerabilities and it has low support. However TDNN build file is not available. You can download it from GitHub.

Simple Time Delay Neural Network (TDNN) implementation in Pytorch. Uses the unfold method to slide over an input sequence.
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            kandi-support Support

              TDNN has a low active ecosystem.
              It has 130 star(s) with 28 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 0 have been closed. On average issues are closed in 289 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of TDNN is current.

            kandi-Quality Quality

              TDNN has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              TDNN does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              TDNN releases are not available. You will need to build from source code and install.
              TDNN 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.
              TDNN saves you 17 person hours of effort in developing the same functionality from scratch.
              It has 48 lines of code, 2 functions and 1 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed TDNN and discovered the below as its top functions. This is intended to give you an instant insight into TDNN implemented functionality, and help decide if they suit your requirements.
            • Initialize the TDNN .
            • Perform forward transformation .
            Get all kandi verified functions for this library.

            TDNN Key Features

            No Key Features are available at this moment for TDNN.

            TDNN Examples and Code Snippets

            Start the UDP channel .
            javadot img1Lines of Code : 29dot img1License : Permissive (MIT License)
            copy iconCopy
            private void start(String[] args) throws Exception {
                    processCommandline(args);
            
                    // Create the channel
                    // This file could be moved, or made a command line option.
                    channel = new JChannel("src/main/resources/udp.xml");
            
               
            Starts a UDP client .
            javadot img2Lines of Code : 8dot img2License : Permissive (MIT License)
            copy iconCopy
            public static void main(String[] args) throws IOException {
                    DatagramChannel client = startClient();
                    String msg = "Hello, this is a Baeldung's DatagramChannel based UDP client!";
                    InetSocketAddress serverAddress = new InetSocket  
            Create a UDP datagram channel .
            javadot img3Lines of Code : 6dot img3License : Non-SPDX
            copy iconCopy
            private AbstractNioChannel udpChannel(int port, ChannelHandler handler) throws IOException {
                var channel = new NioDatagramChannel(port, handler);
                channel.bind();
                channels.add(channel);
                return channel;
              }  

            Community Discussions

            Trending Discussions on TDNN

            QUESTION

            LocalStorage for current div?
            Asked 2021-Jun-24 at 19:53

            I'm trying to make localstorage to store the current chosen div like button clicked, but I'm still weak on js coding. Could you please tell me, why this code is not working and storing the current div?

            ...

            ANSWER

            Answered 2021-Jun-24 at 19:53
            1. getElementsByClassName returns list of elements, not a single element
            2. .light class only available when you click the button, so your onclick registration will never succeed
            3. you don't have anything in the code to set theme when page loaded.

            Try this: https://jsfiddle.net/fgr1b97d/

            Source https://stackoverflow.com/questions/68121719

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

            Vulnerabilities

            No vulnerabilities reported

            Install TDNN

            You can download it from GitHub.
            You can use TDNN 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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          • HTTPS

            https://github.com/cvqluu/TDNN.git

          • CLI

            gh repo clone cvqluu/TDNN

          • sshUrl

            git@github.com:cvqluu/TDNN.git

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