EmoTag helps you train emotion detection model for Chinese audios

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
Owner
_zza
DL, ML | Founder of @Presento | Previously @ByteDance AI-lab, @aispeech | DKU Inaugural Class
_zza
URIE: Universal Image Enhancementfor Visual Recognition in the Wild

URIE: Universal Image Enhancementfor Visual Recognition in the Wild This is the implementation of the paper "URIE: Universal Image Enhancement for Vis

Taeyoung Son 43 Sep 12, 2022
Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.

DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to

Mohamed Ali Souibgui 74 Jan 07, 2023
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering (NAACL 2021)

Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering Abstract In open-domain question answering (QA), retrieve-and-read mec

Clova AI Research 34 Apr 13, 2022
This is a project based on ConvNets used to identify whether a road is clean or dirty. We have used MobileNet as our base architecture and the weights are based on imagenet.

PROJECT TITLE: CLEAN/DIRTY ROAD DETECTION USING TRANSFER LEARNING Description: This is a project based on ConvNets used to identify whether a road is

Faizal Karim 3 Nov 06, 2022
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment

Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.

MT Schmitz 2 Feb 11, 2022
A library to inspect itermediate layers of PyTorch models.

A library to inspect itermediate layers of PyTorch models. Why? It's often the case that we want to inspect intermediate layers of a model without mod

archinet.ai 380 Dec 28, 2022
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

Permutation Invariant Graph Generation via Score-Based Generative Modeling This repo contains the official implementation for the paper Permutation In

64 Dec 29, 2022
Voice Conversion Using Speech-to-Speech Neuro-Style Transfer

This repo contains the official implementation of the VAE-GAN from the INTERSPEECH 2020 paper Voice Conversion Using Speech-to-Speech Neuro-Style Transfer.

Ehab AlBadawy 93 Jan 05, 2023
9th place solution

AllDataAreExt-Galixir-Kaggle-HPA-2021-Solution Team Members Qishen Ha is Master of Engineering from the University of Tokyo. Machine Learning Engineer

daishu 5 Nov 18, 2021
SemEval2022 Patronizing and Condescending Language (PCL) Detection

SemEval2022 Patronizing and Condescending Language (PCL) Detection This task is from SemEval 2022. What is Patronizing and Condescending Language (PCL

Daniel Saeedi 0 Aug 05, 2022
Swin-Transformer is basically a hierarchical Transformer whose representation is computed with shifted windows.

Swin-Transformer Swin-Transformer is basically a hierarchical Transformer whose representation is computed with shifted windows. For more details, ple

旷视天元 MegEngine 9 Mar 14, 2022
This is the repository for Learning to Generate Piano Music With Sustain Pedals

SusPedal-Gen This is the official repository of Learning to Generate Piano Music With Sustain Pedals Demo Page Dataset The dataset used in this projec

Joann Ching 12 Sep 02, 2022
Out-of-Town Recommendation with Travel Intention Modeling (AAAI2021)

TrainOR_AAAI21 This is the official implementation of our AAAI'21 paper: Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

Jack Xin 13 Oct 19, 2022
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. YOLOv4 is a state of the art algorithm that uses deep convolutional neural networks to perform object detections. We can take the ou

The AI Guy 1.1k Dec 29, 2022
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

gans-collection.torch Torch implementation of various types of GANs (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN). Note that EBGAN and

Minchul Shin 53 Jan 22, 2022
Implementation of Deep Deterministic Policy Gradiet Algorithm in Tensorflow

ddpg-aigym Deep Deterministic Policy Gradient Implementation of Deep Deterministic Policy Gradiet Algorithm (Lillicrap et al.arXiv:1509.02971.) in Ten

Steven Spielberg P 247 Dec 07, 2022
PyTorch implementation for MINE: Continuous-Depth MPI with Neural Radiance Fields

MINE: Continuous-Depth MPI with Neural Radiance Fields Project Page | Video PyTorch implementation for our ICCV 2021 paper. MINE: Towards Continuous D

Zijian Feng 325 Dec 29, 2022
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Adversarial Training Against Location-Optimized Adversarial Patches arXiv | Paper | Code | Video | Slides Code for the paper: Sukrut Rao, David Stutz,

Sukrut Rao 32 Dec 13, 2022
验证码识别 深度学习 tensorflow 神经网络

captcha_tf2 验证码识别 深度学习 tensorflow 神经网络 使用卷积神经网络,对字符,数字类型验证码进行识别,tensorflow使用2.0以上 目前项目还在更新中,诸多bug,欢迎提出issue和PR, 希望和你一起共同完善项目。 实例demo 训练过程 优化器选择: Adam

5 Apr 28, 2022
Hierarchical Time Series Forecasting with a familiar API

scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work

Carlo Mazzaferro 204 Dec 17, 2022