Phonological complexity, speech style, and individual differences influence ASR performance for Tarifit [PDF]
Scientific ReportsThis study examines individual differences through the lens of automatic speech recognition (ASR) transfer (applying ASR trained on one language to a new language) from Arabic to Tarifit, an under-resourced Amazigh language with typologically rare ...
Mohamed Afkir, Georgia Zellou
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Automatic Speech Recognition: Systematic Literature Review
IEEE Access, 2021 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 (ASR) technology field.
Sadeen Alharbi +9 more
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Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review
Applied Sciences, 2022 Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech signals into text. Over the last few decades, an enormous amount of research work has been done in the research area of speech recognition (SR). However, most studies
Vivek Bhardwaj +8 more
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Automatic Speech Recognition Using Limited Vocabulary: A Survey
Applied Artificial Intelligence, 2022 Automatic Speech Recognition (ASR) is an active field of research due to its large number of applications and the proliferation of interfaces or computing devices that can support speech processing.
Jean Louis K. E Fendji +3 more
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Automated Speech Recognition in language learning: Potential models, benefits and impact [PDF]
Training, Language and Culture, 2017 The study considers Automated Speech Recognition (ASR) in language learning arguing that speech recognition has reached a level of accuracy where it is powering automatic translation and testing.
Michael Carrier
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AUTOMATIC SPEECH RECOGNITION SYSTEM USING MFCC-BASED LPC APPROACH WITH BACK PROPAGATED ARTIFICIAL NEURAL NETWORKS [PDF]
ICTACT Journal on Soft Computing, 2020 Over the previous years, a marvelous quantity of study was performed by utilizing the artificial intelligence based deep learning approaches for the speech recognition applications.
K Pavan Raju, A Sri Krishna, M Murali
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Arabic speech recognition using end‐to‐end deep learning
IET Signal Processing, 2021 Arabic automatic speech recognition (ASR) methods with diacritics have the ability to be integrated with other systems better than Arabic ASR methods without diacritics.
Hamzah A. Alsayadi +3 more
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Mel frequency spectral domain defenses against adversarial attacks on speech recognition systems [PDF]
JASA Express Letters, 2023 Automatic speech recognition (ASR) systems are vulnerable to adversarial attacks due to their reliance on machine learning models. Many of the defenses explored for defending ASR systems simply adapt defense approaches developed for the image domain ...
Nicholas Mehlman +3 more
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An enhanced method for dialect transcription via error‐correcting thesaurus
IET Communications, 2023 Automatic speech recognition (ASR) has been widely used in the field of customer service, but the performance of general ASR in dialect transcription is not satisfactory, especially in Guangdong Province.
Xiaoliang Ma +3 more
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Archives of Acoustics, 2020 Research work on the design of robust multimodal speech recognition systems making use of acoustic and visual cues, extracted using the relatively noise robust alternate speech sensors is gaining interest in recent times among the speech processing ...
Sadasivam UMA MAHESWARI +3 more
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