world-languages VS speech-emotion-recognition

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

world-languages

Data analysis & visualization on the vulnerability status of the world's languages (by lorenanda)

speech-emotion-recognition

A program that uses neural networks to detect emotions from pre-recorded and real-time speech (by lorenanda)
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world-languages speech-emotion-recognition
2 1
0 17
- -
0.0 1.8
about 3 years ago almost 2 years ago
Jupyter Notebook Python
GNU General Public License v3.0 only MIT License
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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!

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.

What are some alternatives?

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

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

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

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

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

cheatsheets - Official Matplotlib cheat sheets

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

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