somnus | Somnus offers easy keyword detection for everyone | Runtime Evironment library

 by   Skuldur Python Version: 0.2.2 License: MIT

kandi X-RAY | somnus Summary

kandi X-RAY | somnus Summary

somnus is a Python library typically used in Telecommunications, Media, Media, Entertainment, Server, Runtime Evironment, Nodejs applications. somnus has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install somnus' or download it from GitHub, PyPI.

Somnus offers easy keyword detection for everyone. It allows you to listen for and detect a specific keyword in a continuous stream of audio data. It uses keyword detection models developed by Google and Baidu to detect instances of the keyword and by using these small-footprint models Somnus keeps memory usage and latency to a minimum.
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            kandi-support Support

              somnus has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              somnus has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of somnus is 0.2.2

            kandi-Quality Quality

              somnus has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              somnus 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

              somnus releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed somnus and discovered the below as its top functions. This is intended to give you an instant insight into somnus implemented functionality, and help decide if they suit your requirements.
            • Augment audio
            • Create a negative example
            • Create a positive example
            • Match the target dBFS to the target dB
            • Preprocess the audio data
            • Create a dataset
            • Normalize an audio time series
            • Quantize a saved model
            • Load the model
            • Test for accuracy
            • Predict the input
            • Train the Somnus model
            • Create a CNN model
            • Compile the model
            • Save the model
            • Listen for audio
            • Calculate the prediction
            • Get an audio stream
            • Setup the stream
            • Detects a keyword in the audio stream
            Get all kandi verified functions for this library.

            somnus Key Features

            No Key Features are available at this moment for somnus.

            somnus Examples and Code Snippets

            Somnus,Quickstart
            Pythondot img1Lines of Code : 9dot img1License : Permissive (MIT)
            copy iconCopy
            from somnus.somnus import Somnus
            
            s = Somnus(model='./saved_model.h5', device_index=1)
            activated = s.listen()
            
            if activated:
            	print('You did it!')
            else:
            	print('Something went wrong!')
              
            Somnus,Getting started,Prerequisites
            Pythondot img2Lines of Code : 1dot img2License : Permissive (MIT)
            copy iconCopy
            sudo apt-get install portaudio19-dev python-pyaudio python3-pyaudio
              
            Somnus,Getting started,Installation
            Pythondot img3Lines of Code : 1dot img3License : Permissive (MIT)
            copy iconCopy
            pip install somnus
              

            Community Discussions

            QUESTION

            How can I access the text input fields when using express-fileupload from react
            Asked 2021-Mar-13 at 01:03
            Front end

            File input:

            ...

            ANSWER

            Answered 2021-Mar-13 at 01:03

            I found out that the problem I had was on the axios post,

            Source https://stackoverflow.com/questions/66558244

            QUESTION

            Puppeteer never completely loads the page
            Asked 2021-Feb-12 at 21:33

            I've been trying to use Puppeteer to scrape a website, but when I try to obtain the screenshot it never loads it either goes to a TimeoutError or just never finishes.

            ...

            ANSWER

            Answered 2021-Feb-12 at 21:27

            There appears to be an unnecessary waitForNavigation call here. Since you already waited until page load, waiting for another navigation that never occurs is going to cause a timeout. Re-add the commented-out line below to reproduce your problem.

            Source https://stackoverflow.com/questions/66177812

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

            Vulnerabilities

            No vulnerabilities reported

            Install somnus

            Use the package manager pip to install the Somnus package and the CLI.
            Somnus makes it simple to go from raw audio recordings to a working keyword detection model. To get started create a few recordings of yourself saying the keyword and download the datasets in the Recommended datasets section. Move the files to the raw audio directory you specify by running somnus configure. Now that you have your raw audio files set up, you can use our default configurations to create a highly effective keyword detection model. Now that you have a trained model you can use the Somnus client to detect a keyword using your microphone. First run somnus list_microphones to find the device index of your microphone. Then run the following test script using your microphone's device index and verify that the keyword detection is working.
            Run somnus augment_audio to augment the audio files with background noise and create your audio dataset
            Run somnus preprocess to normalize the data stored in the augmented audio files and create a dataset that's been prepared for our keyword detection models
            Run somnus train --epochs 10 to train a keyword detection model using the dataset you just created. The resulting model will be saved to saved_model.h5 in your current working directory.
            Run somnus test to test the accuracy of the model you just trained using a test dataset that was generated by the preprocess command.

            Support

            Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
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            Install
          • PyPI

            pip install somnus

          • CLONE
          • HTTPS

            https://github.com/Skuldur/somnus.git

          • CLI

            gh repo clone Skuldur/somnus

          • sshUrl

            git@github.com:Skuldur/somnus.git

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