research
∙
07/11/2023
Improving RNN-Transducers with Acoustic LookAhead
RNN-Transducers (RNN-Ts) have gained widespread acceptance as an end-to-...
share
research
∙
10/30/2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
Training state-of-the-art ASR systems such as RNN-T often has a high ass...
research
∙
02/21/2022
Adaptive Discounting of Implicit Language Models in RNN-Transducers
RNN-Transducer (RNN-T) models have become synonymous with streaming end-...
research
∙
06/29/2021
Representation based meta-learning for few-shot spoken intent recognition
Spoken intent detection has become a popular approach to interface with ...
research
∙
04/01/2021
Multilingual and code-switching ASR challenges for low resource Indian languages
Recently, there is increasing interest in multilingual automatic speech ...
research
∙
06/12/2019
