converse VS Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Compare converse vs Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network and see what are their differences.

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods. (by EmilVl6)
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converse Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network
6 2
176 2
0.0% -
0.0 6.8
11 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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converse

Posts with mentions or reviews of converse. We have used some of these posts to build our list of alternatives and similar projects.

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Posts with mentions or reviews of Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing converse and Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network you can also consider the following projects:

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

face-emotion-recognition - Efficient face emotion recognition in photos and videos

soxan - Wav2Vec for speech recognition, classification, and audio classification

fer - Facial Expression Recognition with a deep neural network as a PyPI package

TopMost - A Topic Modeling System Toolkit

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

PLOD-AbbreviationDetection - This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

browser-ml-inference - Edge Inference in Browser with Transformer NLP model

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !