Voice Sentiment

Voice Sentiment Analysis using AI/ML involves analyzing the tone, pitch, and other audio features in a voice recording to determine the underlying emotions expressed. By leveraging advanced machine learning algorithms, this technology can accurately identify sentiments like happiness, sadness, anger, and more, providing insights into the speaker's emotional state. This analysis is valuable for enhancing user experience in applications such as customer service, mental health monitoring, and virtual assistants.