speech-emotion-recognition | Speaker independent emotion recognition | Speech library

by hkveeranki Python Version: Current License: MIT

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

kandi X-RAY | speech-emotion-recognition Summary

speech-emotion-recognition is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Keras, Neural Network applications. speech-emotion-recognition has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Speaker independent emotion recognition

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Quality

Security

License

Reuse

Support

speech-emotion-recognition has a low active ecosystem.

It has 265 star(s) with 91 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 22 have been closed. On average issues are closed in 24 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of speech-emotion-recognition is current.

Quality

speech-emotion-recognition has no bugs reported.

Security

speech-emotion-recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

speech-emotion-recognition is licensed under the MIT License. This license is Permissive.

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

Reuse

speech-emotion-recognition releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed speech-emotion-recognition and discovered the below as its top functions. This is intended to give you an instant insight into speech-emotion-recognition implemented functionality, and help decide if they suit your requirements.

Generate a CNN
Read data from a folder
Get a feature vector from a WAV file
Train the model
Evaluate the model
Predict samples for the given samples
Predicts the labels for the given sample
Extract training data
Predict the value for a given sample
Restore the trained model
Load a model
Run ML example
Predict a single value
Run LSTM example
Get requirements txt

Get all kandi verified functions for this library.

speech-emotion-recognition Key Features

No Key Features are available at this moment for speech-emotion-recognition.

speech-emotion-recognition Examples and Code Snippets

No Code Snippets are available at this moment for speech-emotion-recognition.

Community Discussions

Trending Discussions on speech-emotion-recognition

Python beginner ML project issues

QUESTION

Python beginner ML project issues

Asked 2020-Dec-18 at 19:42

So I copied some code to try and figure out machine learning in python(link = https://data-flair.training/blogs/python-mini-project-speech-emotion-recognition). Overall it worked out great but now I do not know how to use it (input a file of my own and analyze it).

...

ANSWER

Answered 2020-Aug-18 at 18:39

Use model.predict() on your new audio file. That should return your desired output.

Source https://stackoverflow.com/questions/63474640

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

Vulnerabilities

No vulnerabilities reported

Install speech-emotion-recognition

You can download it from GitHub.
You can use speech-emotion-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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