Narendra Bawane

Papers

Total Citations

H-Index

About

Narendra Bawane is a researcher whose work bridges the fields of speech processing and artificial intelligence, with a particular focus on emotion recognition in speech. His most cited paper, "ANFIS Based Emotions Recognision in Speech" (2007), has garnered 8 citations, demonstrating his early contributions to applying adaptive neuro-fuzzy inference systems (ANFIS) for detecting emotional states from vocal cues. This work highlights his interest in integrating machine learning with human-computer interaction, aiming to make technology more responsive to human emotions. Bawane’s research sits at the intersection of signal processing and soft computing, where he explores how fuzzy logic and neural networks can enhance pattern recognition in audio data. While his citation count is modest, his work represents a foundational step in the development of affective computing systems, which are increasingly relevant in fields like virtual assistants and mental health monitoring. His contributions underscore the potential of hybrid AI models in interpreting complex, non-verbal human signals, offering a pathway for future researchers to build more empathetic and intuitive technologies.