ML-KWS-for-MCU | Keyword spotting on Arm Cortex-M Microcontrollers | Machine Learning library

by ARM-software C Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ML-KWS-for-MCU Summary

ML-KWS-for-MCU is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. ML-KWS-for-MCU has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Keyword spotting on Arm Cortex-M Microcontrollers

Support

Quality

Security

License

Reuse

Support

ML-KWS-for-MCU has a medium active ecosystem.

It has 1037 star(s) with 399 fork(s). There are 84 watchers for this library.

It had no major release in the last 6 months.

There are 49 open issues and 96 have been closed. On average issues are closed in 48 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ML-KWS-for-MCU is current.

Quality

ML-KWS-for-MCU has no bugs reported.

Security

ML-KWS-for-MCU has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ML-KWS-for-MCU is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ML-KWS-for-MCU 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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ML-KWS-for-MCU Key Features

No Key Features are available at this moment for ML-KWS-for-MCU.

ML-KWS-for-MCU Examples and Code Snippets

No Code Snippets are available at this moment for ML-KWS-for-MCU.

Community Discussions

Trending Discussions on ML-KWS-for-MCU

Python How to convert pyaudio bytes into virtual file?

QUESTION

Python How to convert pyaudio bytes into virtual file?

Asked 2021-Apr-07 at 05:49

In Short

Is there a way to convert raw audio data (obtained by PyAudio module) into the form of virtual file (can be obtained by using python open() function), without saving it to the disk and read it from the disk? Details are provided as belows.

What Am I Doing

I'm using PyAudio to record audio, then it will be fed into a tensorflow model to get prediction. Currently, it works when I firstly save the recorded sound as .wav file on the disk, and then read it again to feed it into the model. Here is the code of recording and saving:

...

ANSWER

Answered 2021-Apr-07 at 05:49

You should be able to use io.BytesIO instead of a physical file, they share the same interface but BytesIO is only kept in memory:

Source https://stackoverflow.com/questions/66979769

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

Vulnerabilities

No vulnerabilities reported

Install ML-KWS-for-MCU

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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