Speech and Vision Lab

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Sudarsana Reddy Kadiri

Research Scholar (PhD) Sudarsana Reddy Kadiri


Email: sudarsanareddy.kadiri@research.iiit.ac.in
Personal page: http://speech.iiit.ac.in/~sudarsanareddy

Sudarsana Reddy Kadiri received his Bachelor of Technology (B.Tech) degree in the department of Electronics and Communication Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad, in the year 2011. Currently he is pursuing doctoral studies (PhD) in the area of speech signal processing at Speech and Vision Laboratory, International Institute of Information Technology, Hyderabad (IIIT-H) under the supervision of Prof. B. Yegnanarayana. Prior to joining PhD, he was an MS research scholar at the same place where he worked on the topics of emotional speech analysis and recognition. His areas of interest include: Signal processing, Speech analysis and synthesis, Behavioral and Expressive speech processing, Speech perception and Neural networks. Presently his focus is on the extraction of voice/excitation source features directly from the speech signal and its usefulness in expressive speech processing. 
During this period he has also worked as teaching assistant for various courses at the institute. He holds a prestigious TCS PhD fellowship.
Recent Publications:
  1. Vishala Pannala, Aneeja G., Sudarsana Reddy Kadiri and B. Yegnanarayana, "Robust Estimation of Fundamental Frequency using Single Frequency Filtering Approach", 2016. [More] [Digital]
  2. P. Gangamohan, Sudarsana Reddy Kadiri and B. Yegnanarayana. "Analysis of Emotional Speech - A Review". 2016. [More]
  3. Harikrishna, Sudarsana Reddy Kadiri and Anil kumar Vuppala, "Vowel Based Non- Uniform Prosody Modification for Emotion Conversion", 2016. [More]
  4. Sudarsana Reddy Kadiri, P. Gangamohan, Suryakanth V Gangashetty and B. Yegnanarayana, "Analysis of Excitation Source Features of Speech for Emotion Recognition", 2015. [More]
  5. Sudarsana Reddy Kadiri and B. Yegnanarayana, "Analysis of singing voice for epoch extraction using zero frequency filtering method", 2015. [More]
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