Bidirectional LSTM network for speech emotion recognition.

Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274

This is now the official location of the Kaldi project.

A github repo of the openSMILE feature extraction tool.

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Extract xvector and ivector under kaldi

An audio/acoustic activity detection and audio segmentation tool

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Praat: Doing Phonetics By Computer

calculate bhattacharyya distance based on zero cross rate feature between different Gaussian model for speech emotion recognition. corpus is casia

机器学习相关教程

BiLSTM-CNN-CRF architecture for sequence tagging

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

2018年7⽉30⽇-8⽉13⽇持续2周的好未来AI训练营中语⾳情感识别营的项目报告

Audio classification with VGGish as feature extractor in TensorFlow

Alzheimer's Disease Prediction by using ResNet, AlexNet

Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library

ml-eeg helper library

Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnlysis.org)

Acoustic Scene Classification using transfer learning on VGGish pre-trained model

HMM based digital speech recognizer

hierarchical attention model

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Guide : Prof Sundaram Suresh (NTU- Singapore) Area: Deep learning neural networks for feature extraction in high dimensional neuro imaging data. Tools used: Standard neuro imaging software for prep…

Google Speech Command Dataset Classification Neural Network, CNN, RNN