EmoTag helps you train emotion detection model for Chinese audios

Last update: Sep 07, 2022

Overview

emoTag

emoTag helps you train emotion detection model for Chinese audios.

Environment

pip install -r requirement.txt

Data

We used Emotional Speech Dataset (ESD) for Speech Synthesis and Voice Conversion from HLT Singapore.

Train Emotion Classifier

Use this command to train a classifier. Adjust training setups in conf/logfbank_train-emo.json.

python train.py --config conf/logfbank_train-emo.json --name task_trial_1

Models and logs will be find in exp/.

usage: train.py [-h] [-c CONFIG] [-r RESUME] [-n NAME] [--lr LR] [--bs BS]
                [--train_utt2wav TRAIN_UTT2WAV] [--val_utt2wav VAL_UTT2WAV]
                [--blocks BLOCKS] [--optimizer OPTIMIZER]
                [--train_pad0 TRAIN_PAD0] [--devel_pad0 DEVEL_PAD0]
                [--pretrain PRETRAIN]

PyTorch Template

optional arguments:
  -h, --help            show this help message and exit
  -c CONFIG, --config CONFIG
                        config file path (default: None)
  -r RESUME, --resume RESUME
                        path to latest checkpoint (default: None)
  -n NAME, --name NAME
  --lr LR, --learning_rate LR
  --bs BS, --batch_size BS
  --train_utt2wav TRAIN_UTT2WAV
  --val_utt2wav VAL_UTT2WAV
  --blocks BLOCKS
  --optimizer OPTIMIZER
  --train_pad0 TRAIN_PAD0
  --devel_pad0 DEVEL_PAD0
  --pretrain PRETRAIN

Infer labels

python infer_label.py

Adjust the vad_file param and code if necessary to adapt to new tasks. infer_label.py adopted multiprocessing, increased cpu utilities rate and inference efficiency. See usage details below.

usage: infer_label.py [-h] [--vad_file VAD_FILE] [--model_dir MODEL_DIR]
                      [--output_dir OUTPUT_DIR]

parse model info

optional arguments:
  -h, --help            show this help message and exit
  --vad_file VAD_FILE
  --model_dir MODEL_DIR
  --output_dir OUTPUT_DIR

EmoTag helps you train emotion detection model for Chinese audios

Related tags

Overview

emoTag

Environment

Data

Train Emotion Classifier

Infer labels

Owner

_zza

A pytorch-based real-time segmentation model for autonomous driving

Deep Residual Learning for Image Recognition

Official PyTorch implementation of the paper: DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution SmallObject Detection

Open-Ended Commonsense Reasoning (NAACL 2021)

Automatic meme generation model using Tensorflow Keras.

This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their coordinates and detected labels.

Covid19-Forecasting - An interactive website that tracks, models and predicts COVID-19 Cases

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations

95.47% on CIFAR10 with PyTorch

AlphaBot2 Pi Core software for interfacing with the various components.

Tutorial for the PERFECTING FACTORY 5.0 WITH EDGE-POWERED AI workshop

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

The DL Streamer Pipeline Zoo is a catalog of optimized media and media analytics pipelines.

A Moonraker plug-in for real-time compensation of frame thermal expansion

Sequence-tagging using deep learning

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction