Hybrid Language Models Using Mixed Types of Sub-Lexical Units for Open Vocabulary German LVCSR. MAB Shaik, AED Mousa, R Schlüter, H Ney Interspeech, 1441-1444, 2011 | 52 | 2011 |
Using morpheme and syllable based sub-words for Polish LVCSR MAB Shaik, AED Mousa, R Schlüter, H Ney 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 26 | 2011 |
Hierarchical hybrid language models for open vocabulary continuous speech recognition using WFST. MAB Shaik, D Rybach, S Hahn, R Schlüter, H Ney SAPA@ INTERSPEECH, 46-51, 2012 | 24 | 2012 |
Sub-lexical language models for German LVCSR AED Mousa, MAB Shaik, R Schlüter, H Ney 2010 IEEE Spoken Language Technology Workshop, 171-176, 2010 | 18 | 2010 |
Sub-lexical language models for German LVCSR A El-Desoky, M Shaik, R Schlüter, H Ney IEEE Workshop on Spoken Language Technology, Berkeley, CA, USA, 159-164, 2010 | 16 | 2010 |
Whisper Augmented End-to-End/Hybrid Speech Recognition System-CycleGAN Approach. PRR Gudepu, GP Vadisetti, A Niranjan, K Saranu, R Sarma, MAB Shaik, ... INTERSPEECH, 2302-2306, 2020 | 15 | 2020 |
Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic. MAB Shaik, Z Tüske, MA Tahir, M Nußbaum-Thom, R Schlüter, H Ney INTERSPEECH, 3154-3158, 2015 | 13 | 2015 |
Morpheme based factored language models for German LVCSR AED Mousa, MAB Shaik, R Schlüter, H Ney Twelfth Annual Conference of the International Speech Communication Association, 2011 | 12 | 2011 |
Improved strategies for a zero OOV rate LVCSR system MAB Shaik, AED Mousa, S Hahn, R Schlüter, H Ney IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2015 | 9 | 2015 |
Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR. MAB Shaik, AED Mousa, R Schlüter, H Ney Interspeech, 3404-3408, 2013 | 9 | 2013 |
Teager energy subband filtered features for near and far-field automatic speech recognition MR Kamble, S Nayak, MAB Shaik, SP Rath, V Vij, HA Patil 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 6 | 2021 |
End-to-end whisper to natural speech conversion using modified transformer network A Niranjan, M Sharma, SBC Gutha, M Shaik arXiv preprint arXiv:2004.09347, 2020 | 6 | 2020 |
System and method for enterprise data distribution M Sharma, M Shaik, C Bhagavan, D Karthikeyan US Patent 10,326,670, 2019 | 6 | 2019 |
The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task W Michel, Z Tüske, MAB Shaik, R Schlüter, H Ney International Workshop on Spoken Language Translation (IWSLT), 2016 | 6 | 2016 |
RWTH LVCSR Systems for Quaero and EU-Bridge: German, Polish, Spanish and Portuguese MAB Shaik, Z Tüske, MA Tahir, M Nußbaum-Thom, R Schlüter, H Ney Interspeech, 973-977, 2014 | 6 | 2014 |
The RWTH Aachen German and English LVCSR systems for IWSLT-2013 MAB Shaik, Z Tüske, S Wiesler, M Nußbaum-Thom, S Peitz, R Schlüter, ... International Workshop on Spoken Language Translation (IWSLT), 120-127, 2013 | 6 | 2013 |
Investigation of Maximum Entropy Hybrid Language Models for Open Vocabulary German and Polish LVCSR. MAB Shaik, AED Mousa, R Schlüter, H Ney INTERSPEECH, 1071-1074, 2012 | 6 | 2012 |
Exploiting phase-based features for whisper vs. speech classification NJ Shah, MAB Shaik, P Periyasamy, HA Patil, V Vij 2021 29th European Signal Processing Conference (EUSIPCO), 21-25, 2021 | 5 | 2021 |
Morpheme level hierarchical pitman-yor class-based language models for LVCSR of morphologically rich languages. AED Mousa, MAB Shaik, R Schlüter, H Ney INTERSPEECH, 3409-3413, 2013 | 5 | 2013 |
Morpheme Level Feature-based Language Models for German LVCSR. AED Mousa, MAB Shaik, R Schlüter, H Ney INTERSPEECH, 170-173, 2012 | 5 | 2012 |