Shubhangi Giripunje

Papers

Total Citations

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About

Shubhangi Giripunje is a pioneering researcher in the field of affective computing and speech processing, with a focused expertise in emotion recognition from speech signals. Her work bridges the gap between artificial intelligence and human-computer interaction, particularly through the application of adaptive neuro-fuzzy inference systems (ANFIS) and neural networks. In her most-cited paper, "ANFIS Based Emotions Recognision in Speech" (2007), she demonstrated how fuzzy logic combined with neural networks can effectively classify emotional states such as happiness, sadness, and anger from vocal cues. Her earlier foundational study, "Speech Recognition for Emotions with Neural Network: A Design Approach" (2004), laid the groundwork for designing robust emotion-aware speech systems. Though her citation counts (8 and 4, respectively) reflect a niche but dedicated audience, her contributions are significant for advancing early-stage emotion AI, influencing subsequent work in sentiment analysis and voice-based user interfaces. Giripunje’s research remains a valuable reference for students and engineers exploring the intersection of speech technology and emotional intelligence.