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

Image Fusion Transformer

Code for "Diffusion is All You Need for Learning on Surfaces"

Official code for paper Exemplar Based 3D Portrait Stylization.

Tightness-aware Evaluation Protocol for Scene Text Detection

This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.

Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.

Nerf pl - NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Flask101 - FullStack Web Development with Python & JS - From TAQWA

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

ATAC: Adversarially Trained Actor Critic

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking.

Multi-robot collaborative exploration and mapping through Voronoi partition and DRL in unknown environment

The Environment I built to study Reinforcement Learning + Pokemon Showdown

MonoScene: Monocular 3D Semantic Scene Completion

The `rtdl` library + The official implementation of the paper

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV

TICC is a python solver for efficiently segmenting and clustering a multivariate time series

Lightweight, Python library for fast and reproducible experimentation :microscope:

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Binary classification for arrythmia detection with ECG datasets.