| A predictive coding framework for a developmental agent: Speech motor skill acquisition and speech production S Najnin, B Banerjee Speech Communication 92, 24-41, 2017 | 25 | 2017 |
| Corpus of deaf speech for acoustic and speech production research LL Mendel, S Lee, M Pousson, C Patro, S McSorley, B Banerjee, S Najnin, ... The Journal of the Acoustical Society of America 142 (1), EL102-EL107, 2017 | 16 | 2017 |
| Speech recognition using cepstral articulatory features S Najnin, B Banerjee Speech Communication 107, 26-37, 2019 | 13 | 2019 |
| Improved speech inversion using general regression neural network S Najnin, B Banerjee The Journal of the Acoustical Society of America 138 (3), EL229-EL235, 2015 | 9 | 2015 |
| Pragmatically framed cross-situational noun learning using computational reinforcement models S Najnin, B Banerjee Frontiers in Psychology 9, 292160, 2018 | 6 | 2018 |
| A detection and classification method for nasalized vowels in noise using product spectrum based cepstra S Najnin, C Shahnaz International Journal of Speech Technology 18, 97-111, 2015 | 6 | 2015 |
| Emergence of Vocal Developmental Sequences in a Predictive Coding Model of Speech Acquisition. S Najnin, B Banerjee Interspeech, 1113-1117, 2016 | 5 | 2016 |
| Identifying hearing loss from learned speech kernels. S Najnin, B Banerjee, LL Mendel, MH Kapourchali, JK Dutta, S Lee, ... INTERSPEECH, 243-247, 2016 | 3 | 2016 |
| Detection and classification of nasalized vowels in noise based on cepstra derived from differential product spectrum S Najnin, C Shahnaz Circuits, Systems, and Signal Processing 36, 181-201, 2017 | 2 | 2017 |
| Inferring hearing loss from learned speech kernels B Banerjee, MH Kapourchali, S Najnin, LL Mendel, S Lee, ... IEEE International Conference on Machine Learning and Applications, 2016 | 2 | 2016 |
| Identifying hearing deficiencies from statistically learned speech features for personalized tuning of cochlear implants B Banerjee, LL Mendel, JK Dutta, H Shabani, S Najnin Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 1 | 2015 |
| A detection method of nasalised vowels based on an acoustic parameter derived from phase spectrum C Shahnaz, S Najnin, SA Fattah, WP Zhu, MO Ahmad 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 297-300, 2013 | 1 | 2013 |
| Comparative analysis of the polarization properties between a conventional side-hole fiber and a novel design of elliptical core fiber SN Islam, A Saha, MS Alam, S Najnin TENCON 2010-2010 IEEE Region 10 Conference, 2006-2011, 2010 | 1 | 2010 |
| Computational Models for Sensorimotor Integration and Word Learning S Najnin | | 2017 |
| Emergence of vocal developmental sequences in speech acquisition using a unified model of perception, action and learning S Najnin, B Banerjee 15th Neural Computation and Psychology Workshop, 2016 | | 2016 |
| Nasalized Vowel Detection Based on a Threshold of an Acoustic Parameter S Najnin, C Shahnaz Journal of Emerging Trends in Computing and Information Sciences 6 (4), 2015 | | 2015 |
| Unraveling the objectives of computations in the peripheral auditory pathway B Banerjee, S Najnin Conference on Implantable Auditory Prostheses, 2015 | | 2015 |
| Inferring hearing loss characteristics from statistically learned speech features S Najnin, B Banerjee, LL Mendel Conference on Implantable Auditory Prostheses, 2015 | | 2015 |
| Detection of nasalized vowels based on cepstra derived from the product spectrum S Najnin, C Shahnaz 2012 7th International Conference on Electrical and Computer Engineering …, 2012 | | 2012 |
| Method of detection and classification of nasalized vowels based on acoustic features derived from both magnitude and phase spectra S Najnin Department of Electrical and Electronic Engineering (EEE), 2012 | | 2012 |
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