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[PDF][PDF] Recent advances in end-to-end automatic speech recognition
J Li - APSIPA Transactions on Signal and Information …, 2022 - nowpublishers.com
Recently, the speech community is seeing a significant trend of moving from deep neural
network based hybrid modeling to end-to-end (E2E) modeling for automatic speech …
network based hybrid modeling to end-to-end (E2E) modeling for automatic speech …
The speech neuroprosthesis
Loss of speech after paralysis is devastating, but circumventing motor-pathway injury by
directly decoding speech from intact cortical activity has the potential to restore natural …
directly decoding speech from intact cortical activity has the potential to restore natural …
Google usm: Scaling automatic speech recognition beyond 100 languages
Recent progress in transformer-based medical image analysis
The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
Parp: Prune, adjust and re-prune for self-supervised speech recognition
Self-supervised speech representation learning (speech SSL) has demonstrated the benefit
of scale in learning rich representations for Automatic Speech Recognition (ASR) with …
of scale in learning rich representations for Automatic Speech Recognition (ASR) with …
Contextualized streaming end-to-end speech recognition with trie-based deep biasing and shallow fusion
How to leverage dynamic contextual information in end-to-end speech recognition has
remained an active research area. Previous solutions to this problem were either designed …
remained an active research area. Previous solutions to this problem were either designed …
Xrbench: An extended reality (xr) machine learning benchmark suite for the metaverse
Real-time multi-task multi-model (MTMM) workloads, a new form of deep learning inference
workloads, are emerging for applications areas like extended reality (XR) to support …
workloads, are emerging for applications areas like extended reality (XR) to support …