It is a full-fetched web application.Based on sentiment classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.
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Updated
Jul 31, 2019 - Python
It is a full-fetched web application.Based on sentiment classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.
This repository contains code for all assignments in the Multimedia Computing and Applications (CSE563) course.
Fall 2021 Introduction to Deep Learning - Homework 3 Part 2 (RNN-based phoneme recognition)
Speech Classification using Continuous Attention Mechanisms
Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
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