Chaidiaw Thiangtham

Papers

Total Citations

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About

Chaidiaw Thiangtham is a researcher in speech signal processing and affective computing, with a focused interest in speech emotion recognition. Their most cited work, "Speech Emotion Feature Extraction Using FFT Spectrum Analysis" (2015), addresses a critical bottleneck in human-computer interaction: the accurate extraction of emotional cues from speech. By applying Fast Fourier Transform (FFT) spectrum analysis, Thiangtham contributed to foundational methods for identifying emotional states—such as happiness, anger, or sadness—from vocal patterns. This research has direct implications for applications in robotics, e-learning platforms, and emergency call systems, where understanding user emotion enhances responsiveness and personalization. With 3 citations, this paper has provided a stepping stone for subsequent studies in emotion-aware technologies. Thiangtham’s work underscores the importance of feature extraction as a gateway to robust speech emotion recognition, bridging the gap between raw acoustic data and meaningful emotional classification. Their contributions highlight the growing role of affective computing in making machines more intuitive and empathetic, particularly in contexts requiring personal identification and adaptive interaction.