ZionC27/Speech-Emotion-Recognition

Speech Emotion Recognition (SER) using Deep neural networks CNN and RNN

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souradeepdutta/Speech-Emotion-Recognition-with-CNN-LSTM-CLSTM

his is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. The project uses four datasets: CREMAD, RAVDESS, SAVEE, and TESS. The model achieves an accuracy of 96% by combining CNN, LSTM, and CLSTM architectures, along with data augmentation techniques and feature extraction methods.

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weihaox/ST-CLSTM

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

Language: Python - Size: 268 KB - Last synced at: about 13 hours ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 6

Fabiaho/Sentiment-Analysis

This repository contains a reimplementation of the C-LSTM model and compares it with textblob and spacy.

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LauJames/Structure_Func_Recognition

Language: Python - Size: 372 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

sneharaoganta/Depth_ESTIMATION_MML

Spatiotemporal Depth Estimation using Monocular Cameras using Kitty Dataset.

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alla-g/NN_methods_hw

Homeworks for Neural network methods for text processing course

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jeffrafter/clstm

CLSTM and wrapper, built for xcode (libclstm)

Language: C++ - Size: 2.96 MB - Last synced at: 1 day ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0