| A novel stacking technique for prediction of diabetes SK Kalagotla, SV Gangashetty, K Giridhar Computers in Biology and Medicine 135, 104554, 2021 | 78 | 2021 |
| SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala Interspeech, 107-111, 2017 | 70 | 2017 |
| Epoch-based analysis of speech signals B Yegnanarayana, SV Gangashetty Sadhana 36, 651-697, 2011 | 66 | 2011 |
| 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 |
| Multimodal Sentiment Analysis of Telugu Songs. H Abburi, ESA Akkireddy, S Gangashetti, R Mamidi SAAIP@ IJCAI, 48-52, 2016 | 57 | 2016 |
| An investigation of deep neural network architectures for language recognition in indian languages. KV Mounika, S Achanta, HR Lakshmi, SV Gangashetty, AK Vuppala INTERSPEECH, 2930-2933, 2016 | 48 | 2016 |
| Significance of vowel onset point for speech analysis SRM Prasanna, SV Gangashetty, B Yegnanarayana Proc. Int. Conf. on signal processing and communication, Bangalore, India 1 …, 2001 | 48 | 2001 |
| Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks C Paseddula, SV Gangashetty Applied Acoustics 172, 107568, 2021 | 41 | 2021 |
| An investigation of recurrent neural network architectures for statistical parametric speech synthesis. S Achanta, T Godambe, SV Gangashetty Interspeech, 859-863, 2015 | 38 | 2015 |
| Online text-independent speaker verification system using autoassociative neural network models SP Kishore, B Yegnanarayana, SV Gangashetty IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 37 | 2001 |
| Detection of vowel on set points in continuous speech using autoassociative neural network models. SV Gangashetty, CC Sekhar, B Yegnanarayana INTERSPEECH, 1081-1084, 2004 | 36 | 2004 |
| Extraction of fixed dimension patterns from varying duration segments of consonant-vowel utterances SV Gangashetty, CC Sekhar, B Yegnanarayana International Conference on Intelligent Sensing and Information Processing …, 2004 | 35 | 2004 |
| Deep Elman recurrent neural networks for statistical parametric speech synthesis S Achanta, SV Gangashetty Speech Communication 93, 31-42, 2017 | 33 | 2017 |
| Neural network models for recognition of consonant-vowel units of speech in Multiple Languages SV Gangashetty PhD thesis, IIT Madras, 2004 | 32 | 2004 |
| Syllabic properties of three Indian languages: Implications for speech recognition and language identification AN Khan, SV Gangashetty, B Yegnanarayana Int. conf. natural language processing, 125-134, 2003 | 32 | 2003 |
| 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 | 31 | 2020 |
| A speech-based conversation system for accessing agriculture commodity prices in Indian languages GV Mantena, S Rajendran, B Rambabu, SV Gangashetty, ... 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays …, 2011 | 31 | 2011 |
| Spotting multilingual consonant-vowel units of speech using neural network models SV Gangashetty, CC Sekhar, B Yegnanarayana International Conference on Nonlinear Analyses and Algorithms for Speech …, 2005 | 30 | 2005 |
| Dnn based acoustic scene classification using score fusion of mfcc and inverse mfcc C Paseddula, SV Gangashetty 2018 IEEE 13th International Conference on Industrial and Information …, 2018 | 28 | 2018 |
| Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients. KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala Interspeech, 2596-2600, 2017 | 27 | 2017 |
