Dialogue systems are becoming an ubiquitous presence in our everyday lives having a
huge impact on business and society. Spoken language understanding (SLU) is the critical …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Spoken dialog systems are slowly becoming and integral part of the human experience due
to their various advantages over textual interfaces. Spoken language understanding (SLU) …

Recent advancements in transformer-based speech representation models have greatly
transformed speech processing. However, there has been limited research conducted on …

Speech emotion recognition (SER) classifies audio into emotion categories such as Happy,
Angry, Fear, Disgust and Neutral. While Speech Emotion Recognition (SER) is a common …

Natural Language Understanding (NLU) is a fundamental building block of goal-oriented
conversational AI. In NLU, the two key tasks are predicting the intent of the user's query and …

Intent Recognition and Slot Identification are crucial components in spoken language
understanding (SLU) systems. In this paper, we present a novel approach towards both …

Task-oriented dialog systems help a user achieve a particular goal by parsing user requests
to execute a particular action. These systems typically require copious amounts of training …

Recently, the performance of speech recognition has witnessed rapid improvement due to
modern architectures. Those models typically require thousands of hours of training data for …

This study centers on enhancing intent classification for low-resource languages by
assessing the impact of translation, transliteration, and preprocessing using ATIS and two …