Speaker-Recognition | Voiceprint Recognition , VPR ) ,也称为说话人识别 ,也称为说话人识别 ( Speaker | Speech library

 by   mialrr Python Version: Current License: No License

kandi X-RAY | Speaker-Recognition Summary

kandi X-RAY | Speaker-Recognition Summary

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

声纹识别(Voiceprint Recognition, VPR),也称为说话人识别(Speaker Recognition),有两类,即说话人辨认(Speaker Identification)和说话人确认(Speaker Verification)
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            kandi-support Support

              Speaker-Recognition has a low active ecosystem.
              It has 23 star(s) with 6 fork(s). There are 2 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 79 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Speaker-Recognition is current.

            kandi-Quality Quality

              Speaker-Recognition has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Speaker-Recognition 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

              Speaker-Recognition releases are not available. You will need to build from source code and install.
              Speaker-Recognition has no build file. You will be need to create the build yourself to build the component from source.
              Speaker-Recognition saves you 19 person hours of effort in developing the same functionality from scratch.
              It has 54 lines of code, 3 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Speaker-Recognition and discovered the below as its top functions. This is intended to give you an instant insight into Speaker-Recognition implemented functionality, and help decide if they suit your requirements.
            • This method is used to create an ASR speaker .
            • returns the ASRT text
            • Download speaker .
            Get all kandi verified functions for this library.

            Speaker-Recognition Key Features

            No Key Features are available at this moment for Speaker-Recognition.

            Speaker-Recognition Examples and Code Snippets

            No Code Snippets are available at this moment for Speaker-Recognition.

            Community Discussions

            QUESTION

            NameError: free variable 'csv' referenced before assignment in enclosing scope
            Asked 2022-Feb-06 at 05:51

            I'm new in Python and it might be a noob question, I've tried to google and search for the solution but I failed to understand, please be kind and if anyone could guide me through this?

            I'm trying to callback my function in another function :

            ...

            ANSWER

            Answered 2022-Feb-06 at 05:51

            If you're naming a variable csv anywhere in your file (even below the line of the error), that would cause this error. Try changing the name of that variable to something else.

            Source https://stackoverflow.com/questions/71004499

            QUESTION

            Microsoft Cognitive Services - Speaker Recognition API - Verification - error-SpeakerInvalid
            Asked 2020-Mar-03 at 12:27

            I am still facing the error in the verification process

            {"error":{"code":"BadRequest","message":"SpeakerInvalid"}}'

            My audio is correct as it is getting enrolled easily

            ...

            ANSWER

            Answered 2020-Mar-03 at 12:27

            I could reproduce your problem. You are getting this error cause there is a ? in the end of your url, however behind verify there is already a ?. So if you want to add params to your request url you should use & just like the sample code in this API doc:Speaker Recognition - Verification .

            Below is my work code.

            Source https://stackoverflow.com/questions/60475596

            QUESTION

            How to implement Speech 'Identification' in Javascript (or a Flask WebApp)?
            Asked 2020-Jan-24 at 12:48

            I needed to implement speech 'identification', ie. Guess if the person who is trying to login, is actually him/her, by matching his/her voice. To consider the case, where the app doesn't recognize the person, but the user is himself trying to login, then he may bypass it with a pin, setup during initial settings.

            I am using Python and Flask, to build the webapp, and included javascript in the question, so as to know of possible ways in it too. Till now, i read about it from some sources, but i couldn't arrive at a possible solution, on stack overflow, as well as 'few' blog posts.

            The best 'possible' solution i could arrive at was Cognitive Speech Services by Microsoft - https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/

            I also thought of recording the voice using the Recorder.js, and analyzing at the server end, but couldn't implement it.

            So, i wanted a way to implement it on the web app, even a simple gist with a bit of code on using ms cognitive services (i did read pages of the documentation, but it didnt help much), or doing it by python will be helpful.

            ...

            ANSWER

            Answered 2020-Jan-23 at 12:47

            The documentation at https://docs.microsoft.com/en-us/azure/cognitive-services/speaker-recognition/home will be helpful. Note that there are clickthrough links to the API reference. It explains the high-level process (use “enrollment” to train).

            We have speaker identification, which is distinguishing who is speaking from a group of known voices that you train with. You need to provide labelled data (meaning examples of a known speaker talking): see https://westus.dev.cognitive.microsoft.com/docs/services/563309b6778daf02acc0a508/operations/5645c3271984551c84ec6797.

            or Please follow the below link speech SDK samples. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/

            You can use batch transcription api and enable diarization. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription

            Source https://stackoverflow.com/questions/59775467

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

            Vulnerabilities

            No vulnerabilities reported

            Install Speaker-Recognition

            You can download it from GitHub.
            You can use Speaker-Recognition 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://github.com/mialrr/Speaker-Recognition.git

          • CLI

            gh repo clone mialrr/Speaker-Recognition

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            git@github.com:mialrr/Speaker-Recognition.git

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