| Robust text-independent speaker identification using Gaussian mixture speaker models DA Reynolds, RC Rose IEEE transactions on speech and audio processing 3 (1), 72-83, 1995 | 4535 | 1995 |
| Automatic speech recognition and speech variability: A review M Benzeghiba, R De Mori, O Deroo, S Dupont, T Erbes, D Jouvet, ... Speech communication 49 (10-11), 763-786, 2007 | 720 | 2007 |
| A hidden Markov model based keyword recognition system RC Rose, DB Paul International conference on acoustics, speech, and signal processing, 129-132, 1990 | 670 | 1990 |
| Conducting the pilot study: A neglected part of the research process? Methodological findings supporting the importance of piloting in qualitative research studies J Malmqvist, K Hellberg, G Möllås, R Rose, M Shevlin International journal of qualitative methods 18, 1609406919878341, 2019 | 577 | 2019 |
| Speaker normalization using efficient frequency warping procedures L Lee, RC Rose 1996 IEEE International Conference on Acoustics, Speech, and Signal …, 1996 | 468 | 1996 |
| A frequency warping approach to speaker normalization L Lee, R Rose IEEE Transactions on speech and audio processing 6 (1), 49-60, 1998 | 415 | 1998 |
| The subspace Gaussian mixture model—A structured model for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, F Kai, A Ghoshal, O Glembek, ... Computer Speech & Language 25 (2), 404-439, 2011 | 386 | 2011 |
| System and method for providing a compensated speech recognition model for speech recognition RC Rose, S Pathasarathy, AE Rosenberg, SS Narayanan US Patent 7,451,085, 2008 | 351 | 2008 |
| Correcting psychophysiological measures for individual differences in range. DT Lykken, R Rose, B Luther, M Maley Psychological bulletin 66 (6), 481, 1966 | 332 | 1966 |
| System and method of performing user-specific automatic speech recognition B Gajic, SS Narayanan, S Parthasarathy, RC Rose, AE Rosenberg US Patent 9,058,810, 2015 | 320 | 2015 |
| Primary school teacher perceptions of the conditions required to include pupils with special educational needs R Rose Educational review 53 (2), 147-156, 2001 | 275 | 2001 |
| Mixed methods-theory and practice. Sequential, explanatory approach PW Bowen, R Rose, A Pilkington International Journal of Quantitative and Qualitative Research Methods 5 (2), 10, 2017 | 247 | 2017 |
| Subspace Gaussian mixture models for speech recognition D Povey, L Burget, M Agarwal, P Akyazi, K Feng, A Ghoshal, O Glembek, ... 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 247 | 2010 |
| Integrated models of signal and background with application to speaker identification in noise RC Rose, EM Hofstetter, DA Reynolds IEEE Transactions on Speech and Audio Processing 2 (2), 245-257, 1994 | 227 | 1994 |
| Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models L Burget, P Schwarz, M Agarwal, P Akyazi, K Feng, A Ghoshal, ... 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 208 | 2010 |
| System and method of performing speech recognition based on a user identifier B Gajic, SS Narayanan, S Parthasarathy, RC Rose, AE Rosenberg US Patent 7,451,081, 2008 | 208 | 2008 |
| Supporting the inclusion of pupils with social, emotional and behavioural difficulties in the primary school: the role of teaching assistants B Groom, R Rose Journal of research in special educational needs 5 (1), 20-30, 2005 | 206 | 2005 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 200 | 2017 |
| Text independent speaker identification using automatic acoustic segmentation RC Rose, DA Reynolds International Conference on Acoustics, Speech, and Signal Processing, 293-296, 1990 | 197 | 1990 |
| The widening gap in mortality by educational level in the Russian Federation, 1980–2001 M Murphy, M Bobak, A Nicholson, R Rose, M Marmot American Journal of Public Health 96 (7), 1293-1299, 2006 | 187 | 2006 |
