research
∙
07/13/2023
Personalization for BERT-based Discriminative Speech Recognition Rescoring
Recognition of personalized content remains a challenge in end-to-end sp...
share
research
∙
03/30/2023
PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
End-to-End (E2E) automatic speech recognition (ASR) systems used in voic...
research
∙
03/20/2023
On-the-fly Text Retrieval for End-to-End ASR Adaptation
End-to-end speech recognition models are improved by incorporating exter...
research
∙
02/17/2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
In this work, we aim to enhance the system robustness of end-to-end auto...
research
∙
02/02/2022
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT
Second-pass rescoring is an important component in automatic speech reco...
research
∙
01/10/2022
A Likelihood Ratio based Domain Adaptation Method for E2E Models
End-to-end (E2E) automatic speech recognition models like Recurrent Neur...
research
∙
07/30/2021
Towards Continual Entity Learning in Language Models for Conversational Agents
Neural language models (LM) trained on diverse corpora are known to work...
research
∙
06/02/2021
Attention-based Contextual Language Model Adaptation for Speech Recognition
Language modeling (LM) for automatic speech recognition (ASR) does not u...
research
∙
02/15/2021
Personalization Strategies for End-to-End Speech Recognition Systems
The recognition of personalized content, such as contact names, remains ...
research
∙
01/05/2021
Domain-aware Neural Language Models for Speech Recognition
As voice assistants become more ubiquitous, they are increasingly expect...
research
∙
11/30/2020
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion
End-to-end automatic speech recognition (ASR) systems, such as recurrent...
research
∙
11/23/2020
