LIA_RAL | level toolkit for speaker recognition | Speech library

 by   ALIZE-Speaker-Recognition C++ Version: Current License: LGPL-3.0

kandi X-RAY | LIA_RAL Summary

kandi X-RAY | LIA_RAL Summary

LIA_RAL is a C++ library typically used in Artificial Intelligence, Speech applications. LIA_RAL has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A high-level toolkit for speaker recognition, build on top of ALIZE-Core.
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            kandi-support Support

              LIA_RAL has a low active ecosystem.
              It has 115 star(s) with 27 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 18 have been closed. On average issues are closed in 73 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LIA_RAL is current.

            kandi-Quality Quality

              LIA_RAL has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LIA_RAL is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              LIA_RAL releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            LIA_RAL Key Features

            No Key Features are available at this moment for LIA_RAL.

            LIA_RAL Examples and Code Snippets

            No Code Snippets are available at this moment for LIA_RAL.

            Community Discussions

            QUESTION

            Crashing with "UBM not found" when executing alizeSystem.createSpeakerModel(userName);
            Asked 2018-Apr-25 at 05:05

            I'm using android-alize for a speaker identification app. As the documentation says I'm trying to train a model as below,

            // Send audio to the system alizeSystem.addAudio(audio);

            // Train a model with the audio alizeSystem.createSpeakerModel("Somebody");

            But my application crashing with below stacktrace,

            ...

            ANSWER

            Answered 2018-Apr-25 at 05:05

            Further debugged the Alize-LIA_RAL and I realized that the android project looks for a world.gmm (UBM) in assets/gmm/world.gmm. Seems like we have to generate this world.gmm with LIA_RAL library and later add it to the android code.

            However we have to specify the UBM location using below given code snippet during the alize initialization.

            Source https://stackoverflow.com/questions/49890630

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

            Vulnerabilities

            No vulnerabilities reported

            Install LIA_RAL

            You can download it from GitHub.

            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/ALIZE-Speaker-Recognition/LIA_RAL.git

          • CLI

            gh repo clone ALIZE-Speaker-Recognition/LIA_RAL

          • sshUrl

            git@github.com:ALIZE-Speaker-Recognition/LIA_RAL.git

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