Urdu Speech Emotion Recognition: A Systematic Literature Review

Abstract

Research on Speech Emotion Recognition is becoming more mature day by day, and a lot of research is being carried out on Speech Emotion Recognition in resource-rich languages like English, German, French, and Chinese. Urdu is among the top 10 languages spoken worldwide. Despite its importance, few studies have worked on Urdu Speech emotion as Urdu is recognized as a resource-poor language. The Urdu language lacks publicly available datasets, and for this reason, few researchers have worked on Urdu Speech Emotion Recognition. To the best of our knowledge, no review has been found on Urdu Speech Emotion recognition. This study is the first systematic literature review on Urdu Speech Emotion Recognition, and the primary goal of this study is to provide a detailed analysis of the literature on Urdu Speech Emotion Recognition which includes the datasets, features, pre-processing, approaches, performance metrics, and validation methods used for Urdu Speech Emotion Recognition. This study also highlights the challenges and future directions for Urdu Speech Emotion Recognition.