RapidASR | platform implementation of ASR inference

 by   RapidAI C++ Version: v2.0.0 License: MIT

kandi X-RAY | RapidASR Summary

kandi X-RAY | RapidASR Summary

RapidASR is a C++ library. RapidASR has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Our visio is to offer an out-of-box engineering implementation for ASR. A cpp implementation of recognize-onnx.py in Wenet-asr in which it implements the inference with ONNXRuntime. For a version of pure CPP code, we need to do a bit of work to rewrite some components.
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              RapidASR has a low active ecosystem.
              It has 249 star(s) with 37 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 7 have been closed. On average issues are closed in 64 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of RapidASR is v2.0.0

            kandi-Quality Quality

              RapidASR has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              RapidASR is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              RapidASR releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            RapidASR Key Features

            No Key Features are available at this moment for RapidASR.

            RapidASR Examples and Code Snippets

            No Code Snippets are available at this moment for RapidASR.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install RapidASR

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          • HTTPS

            https://github.com/RapidAI/RapidASR.git

          • CLI

            gh repo clone RapidAI/RapidASR

          • sshUrl

            git@github.com:RapidAI/RapidASR.git

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