Amit Das

According to our database, Amit Das authored at least 15 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Multiple Softmax Architecture for Streaming Multilingual End-to-End ASR Systems.

Vikas Joshi, Amit Das, Eric Sun, Rupesh R. Mehta, Jinyu Li, Yifan Gong

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Multi-Dialect Speech Recognition in English Using Attention on Ensemble of Experts.

Amit Das, Kshitiz Kumar, Jian Wu

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.

Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Advancing Acoustic-to-Word CTC Model With Attention and Mixed-Units.

Amit Das, Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Universal Acoustic Modeling Using Neural Mixture Models.

Amit Das, Jinyu Li, Changliang Liu, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning

Amit Das

PhD thesis, 2018

Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation.

Amit Das, Mark Hasegawa-Johnson

Proceedings of the Interspeech 2018, 2018

Advancing Acoustic-to-Word CTC Model.

Jinyu Li, Guoli Ye, Amit Das, Rui Zhao, Yifan Gong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Advancing Connectionist Temporal Classification with Attention Modeling.

Amit Das, Jinyu Li, Rui Zhao, Yifan Gong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

ASR for Under-Resourced Languages From Probabilistic Transcription.

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

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions.

Amit Das, Mark Hasegawa-Johnson, Karel Veselý

Proceedings of the Interspeech 2017, 2017

Ultrasound based gesture recognition.

Amit Das, Ivan Tashev, Shoaib Mohammed

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka.

Amit Das, Preethi Jyothi, Mark Hasegawa-Johnson

Proceedings of the Interspeech 2016, 2016

An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions.

Amit Das, Mark Hasegawa-Johnson

Proceedings of the Interspeech 2016, 2016

2015

Cross-lingual transfer learning during supervised training in low resource scenarios.

Amit Das, Mark Hasegawa-Johnson

Proceedings of the INTERSPEECH 2015, 2015