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Amit Das

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • eess.AS1
same name
  • Amit Das — 1 paper, h 3
  • Amit Das — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

eess.AS2020

High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model

Jinyu Li, Rui Zhao, Eric Sun +4

While the community keeps promoting end-to-end models over conventional hybrid models, which usually are long short-term memory (LSTM) models trained with a cross entropy criterion…

cs.CL2018

Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units

Amit Das, Jinyu Li, Guoli Ye +2

The acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion is a natural end-to-end (E2E) system directly targeting word as output unit. Two issue…

cs.CL2018

Advancing Acoustic-to-Word CTC Model

Jinyu Li, Guoli Ye, Amit Das +2

The acoustic-to-word model based on the connectionist temporal classification (CTC) criterion was shown as a natural end-to-end (E2E) model directly targeting words as output units…

cs.CL2018

Advancing Connectionist Temporal Classification With Attention Modeling

Amit Das, Jinyu Li, Rui Zhao +1

In this study, we propose advancing all-neural speech recognition by directly incorporating attention modeling within the Connectionist Temporal Classification (CTC) framework. In…

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