#Speech-emotion-recognition
Showing 9 of 9 repositories tagged #speech-emotion-recognition, ranked by stars
Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
How to use our public wav2vec2 dimensional emotion model
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.