opensmile

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Human Emotion Understanding using multimodal dataset.

Predictive modeling of users' interpersonal characteristics by the sound of their voices and manner of speaking.

CNN for language-independent emotion prediction on a dataset of English and French speech samples.

speech emotion recognition, augmentation

Script to extract acoustic features from speech using OpenSmile toolkit.

Visual Studio Code extension that adds syntax highlighting, diagnostics and IntelliSense features for openSMILE configuration files

A stand-alone OpenSmile plugin for the Cordova framework.

This is a project dedicated to the classification of emotional speech and was created in class with Prof. Dr. Burkhardt at Technische Universität Berlin.

Codes for extracting features of IEMOCAP with Open Smile tool kit

Digit Recogniser step by step.

acoustic low-level descriptors (LLD) feature extraction via the opensmile software