English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints by Haifan Du, Haiwen Duan

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Introduction of the speaking rate in the model of speech recognition by Abdellah Yousfi, Abdelouafi Meziane

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Multitask Learning with Local Attention for Tibetan Speech Recognition by Hui Wang, Fei Gao, Yue Zhao, Li Yang, Jianjian Yue, Huilin Ma

“…In this paper, we propose to incorporate the local attention in WaveNet-CTC to improve the performance of Tibetan speech recognition in multitask learning. With an increase in task number, such as simultaneous Tibetan speech content recognition, dialect identification, and speaker recognition, the accuracy rate of a single WaveNet-CTC decreases on speech recognition. …”
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A speech recognition method with enhanced transformer decoder by Hengbo Hu, Tong Niu, Zhenhua He

“…Abstract Addressing the issue that the Transformer decoder struggles to capture local features for monotonic alignment in speech recognition, and simultaneously incorporating language model cold fusion training into the decoder, an enhanced decoder-based speech recognition model is investigated. …”
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Speech Recognition for the Sterile Interaction with Information Systems in the Surgical Area by Schrüfer Katrin V., Noortwijck Pascal, Junger Denise, Burgert Oliver

Subjects: “…speech recognition…”
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WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages by Tripti Choudhary, Vishal Goyal, Atul Bansal

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Automatic speech recognition predicts contemporaneous earthquake fault displacement by Christopher W. Johnson, Kun Wang, Paul A. Johnson

“…Here we apply the Wav2Vec-2.0 self-supervised framework for automatic speech recognition to continuous seismic signals emanating from a sequence of moderate magnitude earthquakes during the 2018 caldera collapse at the Kīlauea volcano on the island of Hawai’i. …”
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Acoustic Model with Multiple Lexicon Types for Indonesian Speech Recognition by Taufik Fuadi Abidin, Alim Misbullah, Ridha Ferdhiana, Laina Farsiah, Muammar Zikri Aksana, Hammam Riza

“…Currently, speech recognition datasets are increasingly available freely in various languages. …”
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Arabic Speech Recognition Based on Encoder-Decoder Architecture of Transformer by Mohanad Sameer, Ahmed Talib, Alla Hussein, Husniza Husni

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CNN Based Automatic Speech Recognition: A Comparative Study by Hilal Ilgaz, Beyza Akkoyun, Özlem Alpay, M. Ali Akcayol

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Speech Recognition System Based on Machine Learning in Persian Language by Shahed Mohammadi, Niloufar Hemati, Neda Mohammadi

Subjects: “…speech recognition…”
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An online intelligent electronic medical record system via speech recognition by Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu

“…The rapid development of deep learning–based speech recognition technology promises to improve this situation. …”
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DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning by Hong Lei, Yue Xiao, Yanchun Liang, Dalin Li, Heow Pueh Lee

“…Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. …”
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An End-To-End Speech Recognition Model for the North Shaanxi Dialect: Design and Evaluation by Yi Qin, Feifan Yu

Subjects: “…dialect speech recognition…”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

Subjects: “…Speech recognition…”
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Harnessing the Multi-Phasal Nature of Speech-EEG for Enhancing Imagined Speech Recognition by Rini Sharon, Mriganka Sur, Hema Murthy

“…The findings indicate that the proposed multi-phase approach significantly enhances EEG-based speech recognition, achieving an accuracy gain of 18.2% for 25 cognitive units in continuous speech EEG over models reliant solely on single-phase data.…”
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Retracted: Emotional Interactive Simulation System of English Speech Recognition in Virtual Context by null Complexity

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Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm by Lu Jing

“…This paper is aimed at the problems of low accuracy, long recognition time, and low recognition efficiency in English speech recognition. In order to improve the accuracy and efficiency of English speech recognition, an improved ant colony algorithm is used to deal with the dynamic time planning problem. …”
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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

“…To enhance the performance of image classification and speech recognition, the optimizer is considered an important factor for achieving high accuracy. …”
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User Satisfaction for an Augmented Reality Application to Support Productive Vocabulary Using Speech Recognition by Nurhazarifah Che Hashim, Nazatul Aini Abd Majid, Haslina Arshad, Waqas Khalid Obeidy

“…The aim of this paper is to evaluate user satisfaction based on System Usability Scale (SUS) questionnaire on Augmented Reality (AR) application for productive vocabulary using speech recognition. There is still lack of research focus on user satisfaction towards the use of AR-based app using speech recognition for vocabulary learning in early education. …”
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