speech-emotion-recognition VS world-languages

Compare speech-emotion-recognition vs world-languages and see what are their differences.

speech-emotion-recognition

A program that uses neural networks to detect emotions from pre-recorded and real-time speech (by lorenanda)

world-languages

Data analysis & visualization on the vulnerability status of the world's languages (by lorenanda)
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speech-emotion-recognition world-languages
1 2
17 0
- -
1.8 0.0
almost 2 years ago about 3 years ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

speech-emotion-recognition

Posts with mentions or reviews of speech-emotion-recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.
  • 4 tips for creating an impressive data science portfolio on GitHub
    4 projects | dev.to | 6 Jun 2021
    So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.

world-languages

Posts with mentions or reviews of world-languages. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.
  • 4 tips for creating an impressive data science portfolio on GitHub
    4 projects | dev.to | 6 Jun 2021
    So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.
  • Data analysis of endangered languages with pandas
    3 projects | dev.to | 7 May 2021
    This exploratory analysis is only a starting point, there are many other questions you can explore from this dataset. For example, find what dialects are critically endangered, what is the geographic distribution of endangered languages, or maybe analyse and visualise the data with other libraries than pandas and matplotlib. Have a look at my Jupyter notebook and play around with the data!

What are some alternatives?

When comparing speech-emotion-recognition and world-languages you can also consider the following projects:

Neural-Voice-Cloning-With-Few-Samples - This repository has implementation for "Neural Voice Cloning With Few Samples"

apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv

speech-music-detection - Python framework for Speech and Music Detection using Keras.

psych-verbs - Research experiment design and classification of Romanian emotion verbs

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

cheatsheets - Official Matplotlib cheat sheets

open_data_covid_analysis - Analysing Covid19 using publicly available datasets

DeepPoseKit - a toolkit for pose estimation using deep learning

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface