[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 …
Automatic speech recognition using advanced deep learning approaches: A survey
Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
A survey on non-autoregressive generation for neural machine translation and beyond
Non-autoregressive (NAR) generation, which is first proposed in neural machine translation
(NMT) to speed up inference, has attracted much attention in both machine learning and …
(NMT) to speed up inference, has attracted much attention in both machine learning and …
Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to-end speech recognition
Transformers have recently dominated the ASR field. Although able to yield good
performance, they involve an autoregressive (AR) decoder to generate tokens one by one …
performance, they involve an autoregressive (AR) decoder to generate tokens one by one …
Relaxing the conditional independence assumption of CTC-based ASR by conditioning on intermediate predictions
This paper proposes a method to relax the conditional independence assumption of
connectionist temporal classification (CTC)-based automatic speech recognition (ASR) …
connectionist temporal classification (CTC)-based automatic speech recognition (ASR) …
6G survey on challenges, requirements, applications, key enabling technologies, use cases, AI integration issues and security aspects
Fifth-generation (5G) wireless networks will likely offer high data rates, increased reliability,
and low delay for mobile, personal, and local area networks. Along with the rapid growth of …
and low delay for mobile, personal, and local area networks. Along with the rapid growth of …
On challenges of sixth-generation (6G) wireless networks: A comprehensive survey of requirements, applications, and security issues
Abstract Fifth-generation (5G) wireless networks are likely to offer high data rates, increased
reliability, and low delay for mobile, personal, and local area networks. Along with the rapid …
reliability, and low delay for mobile, personal, and local area networks. Along with the rapid …
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models
While Transformers have achieved promising results in end-to-end (E2E) automatic speech
recognition (ASR), their autoregressive (AR) structure becomes a bottleneck for speeding up …
recognition (ASR), their autoregressive (AR) structure becomes a bottleneck for speeding up …
Transformer 在语音识别任务中的研究现状与展望.
张晓旭， 马志强， 刘志强， 朱方圆… - Journal of Frontiers of …, 2021 - search.ebscohost.com
Transformer 作为一种新的深度学习算法框架, 得到了越来越多研究人员的关注,
成为目前的研究热点. Transformer 模型中的自注意力机制受人类只关注于重要事物的启发 …
成为目前的研究热点. Transformer 模型中的自注意力机制受人类只关注于重要事物的启发 …
A ctc alignment-based non-autoregressive transformer for end-to-end automatic speech recognition
Recently, end-to-end models have been widely used in automatic speech recognition (ASR)
systems. Two of the most representative approaches are connectionist temporal …
systems. Two of the most representative approaches are connectionist temporal …