| Admissible wavelet packet features based on human inner ear frequency response for Hindi consonant recognition A Biswas, PK Sahu, M Chandra Computers & Electrical Engineering 40 (4), 1111-1122, 2014 | 73 | 2014 |
| Robust features for connected Hindi digits recognition AN Mishra, M Chandra, A Biswas, SN Sharan International Journal of Signal Processing, Image Processing and Pattern …, 2011 | 62* | 2011 |
| Spoken language identification using hybrid feature extraction methods P Kumar, A Biswas, AN Mishra, M Chandra arXiv preprint arXiv:1003.5623, 2010 | 62 | 2010 |
| Feature extraction technique using ERB like wavelet sub-band periodic and aperiodic decomposition for TIMIT phoneme recognition A Biswas, PK Sahu, A Bhowmick, M Chandra International Journal of speech technology 17, 389-399, 2014 | 36 | 2014 |
| Multiple cameras audio visual speech recognition using active appearance model visual features in car environment A Biswas, PK Sahu, M Chandra International Journal of Speech Technology 19, 159-171, 2016 | 33 | 2016 |
| Multilingual Neural Network Acoustic Modelling for ASR of Under-Resourced English-isiZulu Code-Switched Speech. A Biswas, F de Wet, E van der Westhuizen, E Yilmaz, T Niesler INTERSPEECH, 2603-2607, 2018 | 26 | 2018 |
| Building a unified code-switching ASR system for South African languages E Yılmaz, A Biswas, E van der Westhuizen, F de Wet, T Niesler arXiv preprint arXiv:1807.10949, 2018 | 24 | 2018 |
| Auditory ERB like admissible wavelet packet features for TIMIT phoneme recognition PK Sahu, A Biswas, A Bhowmick, M Chandra Engineering Science and Technology, an International Journal 17 (3), 145-151, 2014 | 24 | 2014 |
| Multiple camera in car audio–visual speech recognition using phonetic and visemic information A Biswas, PK Sahu, M Chandra Computers & Electrical Engineering 47, 35-50, 2015 | 23 | 2015 |
| Semi-supervised acoustic model training for five-lingual code-switched ASR A Biswas, E Yılmaz, F de Wet, E van der Westhuizen, T Niesler arXiv preprint arXiv:1906.08647, 2019 | 21 | 2019 |
| Code-switched automatic speech recognition in five South African languages A Biswas, E Yılmaz, E van der Westhuizen, F de Wet, T Niesler Computer Speech & Language 71, 101262, 2022 | 19 | 2022 |
| Hindi vowel classification using GFCC and formant analysis in sensor mismatch condition A Biswas, PK Sahu, A Bhowmick, M Chandra WSEAS Trans Syst 13, 130-143, 2014 | 19 | 2014 |
| Hindi phoneme classification using Wiener filtered wavelet packet decomposed periodic and aperiodic acoustic feature A Biswas, PK Sahu, A Bhowmick, M Chandra Computers & Electrical Engineering 42, 12-22, 2015 | 17 | 2015 |
| Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training A Biswas, R Menon, E van der Westhuizen, T Niesler arXiv preprint arXiv:1907.03064, 2019 | 16 | 2019 |
| Admissible wavelet packet sub‐band based harmonic energy features using ANOVA fusion techniques for Hindi phoneme recognition A Biswas, PK Sahu, M Chandra IET Signal Processing 10 (8), 902-911, 2016 | 15 | 2016 |
| Improving ASR for Code-Switched Speech in Under-Resourced Languages Using Out-of-Domain Data. A Biswas, E van der Westhuizen, T Niesler, F de Wet SLTU, 122-126, 2018 | 14 | 2018 |
| Hindi phoneme-viseme recognition from continuous speech AN Mishra, M Chandra, A Biswas, SN Sharan International Journal of Signal and Imaging Systems Engineering 6 (3), 164-171, 2013 | 13 | 2013 |
| Admissible wavelet packet sub‐band‐based harmonic energy features for Hindi phoneme recognition A Biswas, PK Sahu, A Bhowmick, M Chandra IET Signal Processing 9 (6), 511-519, 2015 | 12 | 2015 |
| AAM based features for multiple camera visual speech recognition in car environment A Biswas, PK Sahu, A Bhowmick, M Chandra Procedia Computer Science 57, 614-621, 2015 | 10 | 2015 |
| Semi-supervised development of ASR systems for multilingual code-switched speech in under-resourced languages A Biswas, E Yılmaz, F De Wet, E van der Westhuizen, T Niesler arXiv preprint arXiv:2003.03135, 2020 | 9 | 2020 |
Prasanna Kumar SahuProfessor of Electrical Engineering, National Institute of Technology, RourkelaEmail verificata su nitrkl.ac.in
