Neural network pruning compresses automatic speech recognition (ASR) models effectively.
However, in multilingual ASR, language-agnostic pruning may lead to severe performance …

Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …

Recently, there has been an increasing interest in unifying streaming and non-streaming
speech recognition models to reduce development, training and deployment cost. The best …

In this paper, we propose a Unified pre-training Framework for Online and Offline (UFO2)
Automatic Speech Recognition (ASR), which 1) simplifies the two separate training …

Automatic Speech Recognition (ASR) models need to be optimized for specific hardware
before they can be deployed on devices. This can be done by tuning the model's …

Neural network pruning offers an effective method for compressing a multilingual automatic
speech recognition (ASR) model with minimal performance loss. However, it entails several …

Streaming automatic speech recognition (ASR) models are restricted from accessing future
context, which results in worse performance compared to the non-streaming models. To …

Conformer-based end-to-end automatic speech recognition (ASR) models have gained
popularity in recent years due to their exceptional performance at scale. However, there are …

Conformer-based end-to-end automatic speech recognition (ASR) models have gained
popularity in recent years due to their exceptional performance at scale. However, there are …

Human trafficking is a severe problem worldwide and social media platforms have emerged
as a potential tool to detect and prevent this crime. Machine learning (ML) algorithms have …