speech-emotion-recognition | modal Speech Emotion Recogniton on IEMOCAP dataset | Speech library

by PiotrSobczak Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)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 applications. speech-emotion-recognition has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

References: [1] [2] [3] [4] [5] [6] [7] [8] [9].

Support

Quality

Security

License

Reuse

Support

speech-emotion-recognition has a low active ecosystem.

It has 42 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 13 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

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

Quality

speech-emotion-recognition has 0 bugs and 0 code smells.

Security

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

speech-emotion-recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

speech-emotion-recognition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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.

Installation instructions are not available. Examples and code snippets are available.

speech-emotion-recognition saves you 794 person hours of effort in developing the same functionality from scratch.

It has 1825 lines of code, 140 functions and 20 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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.

Train a model
Evaluate an epoch
Return device name
Run a single epoch of the given epoch
Read MOCAP
Read audio file
Extract emotion from file
Extract chromosome chromagram features from a signal
Calculate the short term features for each chromosome
Creates test batches
Searches for the optimal learning rate
Perform the forward computation
Extracts mid term features from a given directory
Set default tensor type
Compute sentence embedding
Load the model
Compute the logits of the input
Return True if word is invalid
Compute the classification
Generate the transcription for each sample
Create an acoustic dataset
Calculate the short term feature speed for a given signal
Extracts mid term features from a directory
Feature extraction for each directory
Convert audio to text
Create a spectrogram

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

One hot encoded output to categorical value from a ML model

Python beginner ML project issues

QUESTION

One hot encoded output to categorical value from a ML model

Asked 2021-Jul-19 at 13:51

In my one .py file I created a model and saved the .pkl file of it to use afterward for analysis. The model is formed using the code from this kaggle emotional data set https://www.kaggle.com/shivamburnwal/speech-emotion-recognition The issue is that when I am using this code's model to detect the emotion of new audio then the output is in one hot encoded format. Is there any way using which I can get the actual emotion('happy','fear' etc.) instead of 1's and 0's.

...

ANSWER

Answered 2021-Jul-19 at 13:51

prediction output is a list like this:

Source https://stackoverflow.com/questions/68431274

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 .

Find more information at: