Machine learning in automatic speech recognition: A survey
J Padmanabhan… - IETE Technical Review, 2015 - Taylor & Francis
Over the past few decades, there has been tremendous development in machine learning
paradigms used in automatic speech recognition (ASR) for home automation to space …
paradigms used in automatic speech recognition (ASR) for home automation to space …
Automatic speech recognition: a survey
Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …
using various deep learning techniques. In this study, we present a thorough comparison …
Machine learning paradigms for speech recognition: An overview
L Deng, X Li - IEEE Transactions on Audio, Speech, and …, 2013 - ieeexplore.ieee.org
Automatic Speech Recognition (ASR) has historically been a driving force behind many
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …
[图书][B] Automatic speech recognition
Automatic Speech Recognition (ASR), which is aimed to enable natural human–machine
interaction, has been an intensive research area for decades. Many core technologies, such …
interaction, has been an intensive research area for decades. Many core technologies, such …
[HTML][HTML] Performance vs. hardware requirements in state-of-the-art automatic speech recognition
The last decade brought significant advances in automatic speech recognition (ASR) thanks
to the evolution of deep learning methods. ASR systems evolved from pipeline-based …
to the evolution of deep learning methods. ASR systems evolved from pipeline-based …
[图书][B] Convolutional neural networks for raw speech recognition
V Passricha, RK Aggarwal - 2018 - books.google.com
State-of-the-art automatic speech recognition (ASR) systems map the speech signal into its
corresponding text. Traditional ASR systems are based on Gaussian mixture model. The …
corresponding text. Traditional ASR systems are based on Gaussian mixture model. The …
Automatic speech recognition: Systematic literature review
S Alharbi, M Alrazgan, A Alrashed, T Alnomasi… - Ieee …, 2021 - ieeexplore.ieee.org
A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …
years. In particular, there has been increasing interest in the automatic speech recognition …
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 …
End-to-end speech recognition: A survey
In the last decade of automatic speech recognition (ASR) research, the introduction of deep
learning has brought considerable reductions in word error rate of more than 50% relative …
learning has brought considerable reductions in word error rate of more than 50% relative …
A semantic-aware strategy for automatic speech recognition incorporating deep learning models
A Santhanavijayan, D Naresh Kumar… - Intelligent System Design …, 2021 - Springer
Abstract Automatic Speech Recognition (ASR) is trending in the age of the Internet of Things
and Machine Intelligence. It plays a pivotal role in several applications. Conventional …
and Machine Intelligence. It plays a pivotal role in several applications. Conventional …