Unraveling Emotions: Exploring Speech Emotion Recognition with LSTM Deep Learning Models
Speech Emotion Recognition using Deep Learning Understanding human emotions is essential in today's technologically advanced world in a number of sectors, including psychology, customer service, and human-computer interface. Speech offers an interesting way to identify emotions since it is a rich source of emotional clues. In this blog, we explore the field of Speech Emotion Recognition (SER) with deep learning models, with an emphasis on the architecture of the Long Short-Term Memory (LSTM). Understanding Speech Emotion Recognition (SER) The task of automatically determining the emotional state provided by spoken language is called Speech Emotion Recognition (SER). Pitch, intensity, and spectral properties are only a few of the acoustic characteristics that can be used to infer different emotions from speech signals, including happiness, sorrow, anger, surprise, disgust, neutral, and fear. The Role of Deep Learning in SER Because deep learning techniques make it possible to crea...