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ORCIDAmit Das 0007
Person information
- affiliation: Microsoft Corporation, USA
- affiliation (PhD 2018): University of Illinois Urbana-Champaign, USA
Other persons with the same name
- Amit Das — disambiguation page
- Amit Kumar Das 0001
![[0000-0002-9454-445X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9454-445X")
(aka: Amit K. Das 0001, Amit Das 0001) — Institute of Engineering and Management, Kolkata, India (and 3 more)
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2020 – today
- 2021
[c12]Amit Das, Kshitiz Kumar, Jian Wu:
Multi-Dialect Speech Recognition in English Using Attention on Ensemble of Experts. ICASSP 2021: 6244-6248- [c11]Vikas Joshi, Amit Das, Eric Sun, Rupesh R. Mehta, Jinyu Li, Yifan Gong:
Multiple Softmax Architecture for Streaming Multilingual End-to-End ASR Systems. Interspeech 2021: 1767-1771 - 2020
- [c10]Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong:
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. ICASSP 2020: 7699-7703 - [i4]Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong:
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. CoRR abs/2003.07482 (2020)
2010 – 2019
- 2019
- [j2]Amit Das, Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong:
Advancing Acoustic-to-Word CTC Model With Attention and Mixed-Units. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 1880-1892 (2019) - [c9]Amit Das, Jinyu Li, Changliang Liu, Yifan Gong:
Universal Acoustic Modeling Using Neural Mixture Models. ICASSP 2019: 5681-5685 - 2018
- [b1]Amit Das:
Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning. University of Illinois Urbana-Champaign, USA, 2018 - [c8]Amit Das, Jinyu Li, Rui Zhao, Yifan Gong:
Advancing Connectionist Temporal Classification with Attention Modeling. ICASSP 2018: 4769-4773 - [c7]Jinyu Li, Guoli Ye, Amit Das, Rui Zhao, Yifan Gong:
Advancing Acoustic-to-Word CTC Model. ICASSP 2018: 5794-5798 - [c6]Amit Das, Mark Hasegawa-Johnson:
Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation. INTERSPEECH 2018: 2434-2438 - [i3]Amit Das, Jinyu Li, Rui Zhao, Yifan Gong:
Advancing Connectionist Temporal Classification With Attention Modeling. CoRR abs/1803.05563 (2018) - [i2]Jinyu Li, Guoli Ye, Amit Das, Rui Zhao, Yifan Gong:
Advancing Acoustic-to-Word CTC Model. CoRR abs/1803.05566 (2018) - [i1]Amit Das, Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong:
Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units. CoRR abs/1812.11928 (2018) - 2017
- [j1]Mark A. Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni M. Di Liberto, Amit Das, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy F. Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee:
ASR for Under-Resourced Languages From Probabilistic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 46-59 (2017) - [c5]Amit Das, Ivan Tashev, Shoaib Mohammed:
Ultrasound based gesture recognition. ICASSP 2017: 406-410 - [c4]Amit Das, Mark Hasegawa-Johnson, Karel Veselý:
Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions. INTERSPEECH 2017: 2073-2077 - 2016
- [c3]Amit Das, Preethi Jyothi, Mark Hasegawa-Johnson:
Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka. INTERSPEECH 2016: 3524-3528 - [c2]Amit Das, Mark Hasegawa-Johnson:
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions. INTERSPEECH 2016: 3858-3862 - 2015
- [c1]Amit Das, Mark Hasegawa-Johnson:
Cross-lingual transfer learning during supervised training in low resource scenarios. INTERSPEECH 2015: 3531-3535
Coauthor Index
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