| Purely sequence-trained neural networks for ASR based on lattice-free MMI. D Povey, V Peddinti, D Galvez, P Ghahremani, V Manohar, X Na, Y Wang, ... Interspeech, 2751-2755, 2016 | 944 | 2016 |
| Deep neural network-based speaker embeddings for end-to-end speaker verification D Snyder, P Ghahremani, D Povey, D Garcia-Romero, Y Carmiel, ... 2016 IEEE Spoken Language Technology Workshop (SLT), 165-170, 2016 | 407 | 2016 |
| A Pitch Extraction Algorithm Tuned For Automatic Speech Recognition P Ghahremani, B BabaAli, D Povey, K Riedhammer, J Trmal, ... | 362 | 2014 |
| A time-restricted self-attention layer for ASR D Povey, H Hadian, P Ghahremani, K Li, S Khudanpur 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 162 | 2018 |
| Emotion Identification from Raw Speech Signals Using DNNs. M Sarma, P Ghahremani, D Povey, NK Goel, KK Sarma, N Dehak Interspeech, 3097-3101, 2018 | 120 | 2018 |
| Acoustic modelling from the signal domain using CNNs P Ghahremani, V Manohar, D Povey, S Khudanpur Submitted to Interspeech, 2016 | 105 | 2016 |
| Investigation of transfer learning for ASR using LF-MMI trained neural networks P Ghahremani, V Manohar, H Hadian, D Povey, S Khudanpur 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 82 | 2017 |
| End-to-end Deep Neural Network Age Estimation. P Ghahremani, PS Nidadavolu, N Chen, J Villalba, D Povey, ... Interspeech, 277-281, 2018 | 55 | 2018 |
| A teacher-student learning approach for unsupervised domain adaptation of sequence-trained ASR models V Manohar, P Ghahremani, D Povey, S Khudanpur 2018 IEEE Spoken Language Technology Workshop (SLT), 250-257, 2018 | 53 | 2018 |
| A keyword search system using open source software J Trmal, G Chen, D Povey, S Khudanpur, P Ghahremani, X Zhang, ... 2014 IEEE Spoken Language Technology Workshop (SLT), 530-535, 2014 | 52 | 2014 |
| The Kaldi OpenKWS System: Improving Low Resource Keyword Search. J Trmal, M Wiesner, V Peddinti, X Zhang, P Ghahremani, Y Wang, ... Interspeech, 3597-3601, 2017 | 45 | 2017 |
| Temperature-dependent multi-scale modeling of surface effects on nano-materials AR Khoei, P Ghahremani Mechanics of Materials 46, 94-112, 2012 | 25 | 2012 |
| Stability and size-dependency of temperature-related Cauchy–Born hypothesis AR Khoei, P Ghahremani, MJA Qomi, P Banihashemi Computational materials science 50 (5), 1731-1743, 2011 | 25 | 2011 |
| Linearly augmented deep neural network P Ghahremani, J Droppo, ML Seltzer 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 20 | 2016 |
| An empirical evaluation of zero resource acoustic unit discovery C Liu, J Yang, M Sun, S Kesiraju, A Rott, L Ondel, P Ghahremani, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 15 | 2017 |
| Acoustic Modeling from Frequency Domain Representations of Speech P Ghahremani, H Hadian, H Lv, D Povey, S Khudanpur Proc. Interspeech 2018, 1596-1600, 2018 | 11 | 2018 |
| Listen with intent: Improving speech recognition with audio-to-intent front-end SN Ray, M Wu, A Raju, P Ghahremani, R Bilgi, M Rao, H Arsikere, ... arXiv preprint arXiv:2105.07071, 2021 | 9 | 2021 |
| Multi‐scale modeling of surface effects in nano‐materials with temperature‐related Cauchy‐Born hypothesis via the modified boundary Cauchy‐Born model AR Khoei, P Ghahremani, H DorMohammadi International Journal for Numerical Methods in Engineering 97 (2), 79-110, 2014 | 9 | 2014 |
| Self-stabilized deep neural network P Ghahremani, J Droppo 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 7 | 2016 |
| Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN. M Sarma, P Ghahremani, D Povey, NK Goel, KK Sarma, N Dehak INTERSPEECH, 3925-3929, 2019 | 6 | 2019 |
Daniel PoveyChief Speech Scientist, Xiaomi Corp.xiaomi.com의 이메일 확인됨
