Analysis of emotional speech—A review P Gangamohan, SR Kadiri, B Yegnanarayana Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016 | 93 | 2016 |
Analysis of excitation source features of speech for emotion recognition SR Kadiri, P Gangamohan, SV Gangashetty, B Yegnanarayana Sixteenth annual conference of the international speech communication …, 2015 | 64 | 2015 |
Analysis of emotional speech at subsegmental level. P Gangamohan, SR Kadiri, B Yegnanarayana Interspeech 2013, 1916-1920, 2013 | 55 | 2013 |
Excitation features of speech for emotion recognition using neutral speech as reference SR Kadiri, P Gangamohan, SV Gangashetty, P Alku, B Yegnanarayana Circuits, Systems, and Signal Processing 39 (9), 4459-4481, 2020 | 32 | 2020 |
Excitation source features for discrimination of anger and happy emotions P Gangamohan, SR Kadiri, SV Gangashetty, B Yegnanarayana Tc 100, 1, 2014 | 26 | 2014 |
A Flexible Analysis Synthesis Tool (FAST) for studying the characteristic features of emotion in speech P Gangamohan, VK Mittal, B Yegnanarayana 2012 IEEE Consumer Communications and Networking Conference (CCNC), 250-254, 2012 | 23 | 2012 |
Bessel transform for image resizing C Prakash, SV Gangashetty 2011 18th International Conference on Systems, Signals and Image Processing, 1-4, 2011 | 23 | 2011 |
A Robust and Alternative Approach to Zero Frequency Filtering Method for Epoch Extraction. P Gangamohan, B Yegnanarayana INTERSPEECH, 2297-2300, 2017 | 14 | 2017 |
Discriminating neutral and emotional speech using neural networks SR Kadiri, P Gangamohan, B Yegnanarayana Proceedings of the 11th International Conference on Natural Language …, 2014 | 13 | 2014 |
Naturalistic audio-visual emotion database SR Kadiri, P Gangamohan, VK Mittal, B Yegnanarayana Proceedings of the 11th international conference on natural language …, 2014 | 13 | 2014 |
Relative importance of different components of speech contributing to perception of emotion P Gangamohan, VK Mittal, B Yegnanarayana Speech Prosody 2012, 2012 | 11 | 2012 |
Application of prosody modification for speech recognition in different emotion conditions VVV Raju, P Gangamohan, SV Gangashetty, A kumar Vuppala 2016 IEEE Region 10 Conference (TENCON), 951-954, 2016 | 9 | 2016 |
IIIT-H TEMD semi-natural emotional speech database from professional actors and non-actors B Rambabu, KK Botsa, G Paidi, SV Gangashetty Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 8 | 2020 |
Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech. SH Dumpala, P Gangamohan, SV Gangashetty, B Yegnanarayana INTERSPEECH, 1437-1441, 2016 | 6 | 2016 |
Epoch extraction from speech signals using temporal and spectral cues by exploiting harmonic structure of impulse-like excitations P Gangamohan, SV Gangashetty ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
Optimized edge detection algorithm for face recognition M Sudarshan, PG Mohan, SV Gangashetty Proceedings of the international conference on security and management (SAM), 1, 2011 | 2 | 2011 |
Contribution of f0 contour level, f0 contour shape and durations towards perception of lombard speech BK Kumar, P Gangamohan, SV Gangashetty Proc. SMM21, Workshop on Speech, Music and Mind, 16-20, 2021 | 1 | 2021 |
Subsegmental level analysis of high arousal speech using the zero-time windowing method P Gangamohan, SV Gangashetty, B Yegnanarayana The Journal of the Acoustical Society of America 145 (1), 551-561, 2019 | 1 | 2019 |
Recent Trends in AI Enabled Technologies: First International Conference, ThinkAI 2023, Hyderabad, India, December 29, 2023: Revised Selected Papers G Paidi, SV Gangashetty, AK Varma Springer Nature, 2024 | | 2024 |
Real-Time Duration Modification Using Frame Level Epoch Extraction CM Kumar, N Ritishree, P Gangamohan, MPA Jeeva International Conference on Recent Trends in AI Enabled Technologies, 34-40, 2023 | | 2023 |