Amit Das
Orcid: 0000-0002-8823-8026Affiliations:
- Microsoft Corporation, USA
- University of Illinois Urbana-Champaign, USA (PhD 2018)
According to our database1,
Amit Das
authored at least 15 papers
between 2015 and 2021.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning
PhD thesis, 2018
Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
Cross-lingual transfer learning during supervised training in low resource scenarios.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015