Speech and Vision Lab

  • Increase font size
  • Default font size
  • Decrease font size
Home Publications

Vishala Pannala

Research Scholar (PhD) Vishala Pannala
B4-103, IIIT Hyderabad, Gachibowli
Hyderabad - 500032
Andhra Pradesh
Telephone: +91-40-6653-1422
Email: p.vishala@research.iiit.ac.in
Personal page: http://speech.iiit.ac.in/~vishala

Vishala Pannala holds a Bachelor of Technology (B.Tech) degree in the department of Electrical and Electronics Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad in 2008. She is currently pursuing PhD degree at Speech and Vision Laboratory at International Institute of Information Technology (IIIT-H), under the guidance of Prof. B. Yegnanarayana. Prior to joining PhD, she worked as a Research Assistant and was an MS Research Scholar at the same place during when she worked in developing speech based human-computer interactive systems for Indian languages, specifically Telugu and  in building asterisk based real-time communication applications. During this period she has also worked as teaching assistant at the institute. 
Her research interests include: speech based human-computer interactive systems, speech recognition, speech/nonspeech separation, desired speech identification, intended speaker identification, digital speech watermarking for anti-spoofing, similarities in speech patterns, especially under practical degradations and real world scenarios.  
She holds a Visvesvaraya PhD Scholarship, supported by Department Of Electronics & Information Technology(DeitY), Ministry of Communications and IT, Government of India.

Recent Publications:
  1. Vishala Pannala, "Processing of speech signals for robust recognition in practical environments", 2017. [More] [Digital]
  2. Vishala Pannala, Aneeja G., Sudarsana Reddy Kadiri and B. Yegnanarayana, "Robust Estimation of Fundamental Frequency using Single Frequency Filtering Approach", 2016. [More] [Digital]
  3. Sivanand Achanta, Nivedita Chennupati, Vishala Pannala, Mansi R and Kishore S. Prahallad, "Voice Activity Detection using Maximum Spectral Amplitude in Sub-bands", 2014. [More]
[ Back ]