| Extraction and representation of prosodic features for language and speaker recognition L Mary, B Yegnanarayana Speech communication 50 (10), 782-796, 2008 | 246 | 2008 |
| Vehicle detection and classification from acoustic signal using ANN and KNN J George, L Mary, KS Riyas 2013 international conference on control communication and computing (ICCC …, 2013 | 83 | 2013 |
| Neural network classifiers for language identification using phonotactic and prosodic features M Leena, KS Rao, B Yegnanarayana Proceedings of 2005 International Conference on Intelligent Sensing and …, 2005 | 61 | 2005 |
| Exploring sound signature for vehicle detection and classification using ANN J George, A Cyril, BI Koshy, L Mary International Journal on Soft Computing 4 (2), 29, 2013 | 52 | 2013 |
| Autoassociative neural network models for language identification L Mary, B Yegnanarayana International Conference on Intelligent Sensing and Information Processing …, 2004 | 43 | 2004 |
| FASR: Effect of voice disguise K Sebastian, L Mary 2016 International Conference on Emerging Technological Trends (ICETT), 1-4, 2016 | 41 | 2016 |
| Attention and feature selection for automatic speech emotion recognition using utterance and syllable-level prosodic features SB Alex, L Mary, BP Babu Circuits, Systems, and Signal Processing 39 (11), 5681-5709, 2020 | 37 | 2020 |
| Extraction and representation of prosody for speaker, speech and language recognition L Mary Springer Science & Business Media, 2011 | 37* | 2011 |
| Automatic language identification for seven Indian languages using higher level features C Madhu, A George, L Mary 2017 IEEE International Conference on Signal Processing, Informatics …, 2017 | 35 | 2017 |
| Prosodic features for speaker verification L Mary, B Yegnanarayana Ninth International Conference on Spoken Language Processing, 2006 | 35 | 2006 |
| Multilevel implicit features for language and speaker recognition L Mary INDIAN INSTITUTE OF TEcHNOLOGY MADRAS, 2006 | 29 | 2006 |
| Extraction of prosody for automatic speaker, language, emotion and speech recognition L Mary Springer, 2018 | 27 | 2018 |
| Neural network models for capturing duration and intonation knowledge for language and speaker identification L Mary, KS Rao, SV Gangashetty, B Yegnanarayana 8th Int. Conf. on Cognitive and Neural systems (ICCNS), 2004 | 24 | 2004 |
| Analysis and detection of mimicked speech based on prosodic features L Mary, KK Anish Babu, A Joseph International Journal of Speech Technology 15, 407-417, 2012 | 22 | 2012 |
| Vehicle detection and classification using audio-visual cues P Piyush, R Rajan, L Mary, BI Koshy 2016 3rd International Conference on Signal Processing and Integrated …, 2016 | 19 | 2016 |
| Broad phoneme classification using signal based features G Deekshitha, L Mary International Journal on Soft Computing 5 (3), 1, 2014 | 18 | 2014 |
| Prosodic features for language identification L Mary, B Yegnanarayana 2008 international conference on signal processing, communications and …, 2008 | 18 | 2008 |
| Features for speaker and language identification L Mary, KSR Murty, SRM Prasanna, B Yegnanarayana ODYSSEY04-The Speaker and Language Recognition Workshop, 2004 | 18 | 2004 |
| Fusion of audio visual cues for vehicle classification C Daniel, L Mary 2016 International Conference on Next Generation Intelligent Systems (ICNGIS …, 2016 | 16 | 2016 |
| Significance of prosody for speaker, language, emotion, and speech recognition L Mary, L Mary Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech …, 2019 | 15 | 2019 |
Deekshitha GResearch Scholar在 ieee.org 的电子邮件经过验证
