A simple Speech Emotion Recognition (SER) API created using Flask and running in a Docker container.

Last update: Nov 11, 2022

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Text Data & NLP emovoz

Overview

emovoz

Introduction

A simple Speech Emotion Recognition (SER) API created using Flask and running in a Docker container.

The SER system was built with Python and trained with audios produced by Portuguese speakers.

API inputs:

wav files

API Outputs:

0 - Happiness
1 - Neutral
2 - Anger
3 - Sadness

Owner

GitHub Repository

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A simple Speech Emotion Recognition (SER) API created using Flask and running in a Docker container.

Related tags

Overview

emovoz

Introduction

API inputs:

API Outputs:

Owner

Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER (EMNLP 2021).

Natural language processing summarizer using 3 state of the art Transformer models: BERT, GPT2, and T5

A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.

Code for paper "Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features"

Repository for the paper "Optimal Subarchitecture Extraction for BERT"

This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images

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