# English speech analysis

A speech emotion recognition model fine-tuned based on WavLM-Base, capable of classifying audio into 7 different emotions

This model is fine-tuned based on the Wav2Vec2 architecture, specifically designed to recognize six emotional states (sadness, anger, disgust, fear, happiness, neutral) in English speech, with an accuracy of 92.42%.

SpeechLLM is a multimodal large language model trained to predict speaker turn metadata in conversations, including speech activity, transcribed text, speaker gender, age, accent, and emotion.

English speech emotion recognition model fine-tuned based on Wav2Vec 2.0, capable of recognizing 7 different emotions