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.

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

speech emotion recognition, augmentation

Script to extract acoustic features from speech using OpenSmile toolkit.

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

A stand-alone OpenSmile plugin for the Cordova framework.

Codes for extracting features of IEMOCAP with Open Smile tool kit

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

Research project analyzing the impact of audio features on Spotify podcast performance.

Music plays a major role in our day-to-day life, as it can ease our tense life. In modern society, people can have access to music via networks and electronic products. Emotion is one of the most crucial components of music and it has an enormous significance in real-world applications that include massive music data management, personalized music

Digit Recogniser step by step.