SPEECH_RECOGNITION

作品数:111被引量:101H指数:4
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Ti_(3)C_(2)T_(x) Composite Aerogels Enable Pressure Sensors for Dialect Speech Recognition Assisted by Deep Learning
《Nano-Micro Letters》2025年第5期1-15,共15页Yanan Xiao He Li Tianyi Gu Xiaoteng Jia Shixiang Sun Yong Liu Bin Wang He Tian Peng Sun Fangmeng Liu Geyu Lu 
supported by the National Nature Science Foundation of China(No.62122030,62333008,62371205,52103208);National Key Research and Development Program of China(No.2021YFB3201300);Application and Basic Research of Jilin Province(20130102010 JC);Fundamental Research Funds for the Central Universities,Jilin Provincial Science and Technology Development Program(20230101072JC)。
Wearable pressure sensors capable of adhering comfortably to the skin hold great promise in sound detection.However,current intelligent speech assistants based on pressure sensors can only recognize standard languages...
关键词:Pressure sensor Wearable sensor Ti_(3)C_(2)T_(x) composite aerogel Dialect speech recognition 
Text-and-Timbre-Based Speech Semantic Coding for Ultra-Low-Bitrate Communications
《China Communications》2025年第1期7-24,共18页Yang Xiaoniu Qian Liping Lyu Sikai Wang Qian Wang Wei 
supported in part by National Natural Science Foundation of China under Grants 62122069,62071431,and 62201507.
To address the contradiction between the explosive growth of wireless data and the limited spectrum resources,semantic communication has been emerging as a promising communication paradigm.In this paper,we thus design...
关键词:low coding rate semantic communication speech recognition speech synthesis 
Flexible artificial vision computing system based on FeOx optomemristor for speech recognition
《Journal of Semiconductors》2025年第1期225-232,共8页Jie Li Yue Xin Bai Sun Dengshun Gu Changrong Liao Xiaofang Hu Lidan Wang Shukai Duan Guangdong Zhou 
supported by the Key Project of Chongqing Natural Science Foundation Joint Fund[CSTB2023NSCQ-LZX0103,(G.Z.)];Chongqing Natural Science Foundation[CSTB2024NSCQ-MSX0012,(C.L.)];Fundamental Research Funds for the Central Universities[SWUZLPY03,(G.Z.)];Fundamental Research Funds for the Central Universities[Swu020019,(G.Z.):SWU-XDJH202319,(G.Z.)1].
With the advancement of artificial intelligence,optic in-sensing reservoir computing based on emerging semiconductor devices is high desirable for real-time analog signal processing.Here,we disclose a flexible optomem...
关键词:reservoir computing flexible optomemristor analogy signal processing optic computing 
Schlieren imaging and video classification of alphabet pronunciations:exploiting phonetic flows for speech recognition and speech therapy
《Visual Computing for Industry,Biomedicine,and Art》2024年第1期272-285,共14页Mohamed Talaat Kian Barari Xiuhua April Si Jinxiang Xi 
Speech is a highly coordinated process that requires precise control over vocal tract morphology/motion to produce intelligible sounds while simultaneously generating unique exhaled flow patterns.The schlieren imaging...
关键词:Alphabet pronunciation Speech flows Articulatory phonetics Video classification SCHLIEREN Long short-term memory Sequential learning 
COMPARISON OFEMA-SYNCHRONIZED AND STAND-ALONE SPEECH BASED ON SPEECH RECOGNITION
《中国语音学报》2023年第2期167-176,共10页FANG Qiang 
supported by the National Natural Science Foundation of China(No.61977049);Advanced Innovation Center for Language Resource and Intelligence(KYR17005)
Synchronized acoustic-articulatory data is the basis of various applications,such as exploring the fundamental mechanisms of speech production,acoustic to articulatory inversion(AAI),and articulatory to acoustic mappi...
关键词:EMA-synchronized speech Stand-alone speech Speech recognition Confusion matrix 
Speech Recognition via CTC-CNN Model
《Computers, Materials & Continua》2023年第9期3833-3858,共26页Wen-Tsai Sung Hao-WeiKang Sung-Jung Hsiao 
Supported by the Department of Electrical Engineering at National Chin-Yi University of Technology;National Chin-Yi University of Technology,TakmingUniversity of Science and Technology,Taiwan,for supporting this research。
In the speech recognition system,the acoustic model is an important underlying model,and its accuracy directly affects the performance of the entire system.This paper introduces the construction and training process o...
关键词:Artificial intelligence speech recognition speech to text convolutional neural network automatic speech recognition 
Highly sensitive humidity sensors based on hexagonal boron nitride nanosheets for contactless sensing被引量:1
《Nano Research》2023年第7期10279-10286,共8页Hang Liu Jinxu Qin Xigui Yang Chaofan Lv Wentao Huang Fukui Li Chuang Zhang Yanran Wu Lin Dong Chongxin Shan 
This work was supported by the National Natural Science Foundation of China(Nos.12174348,U21A2070,and 62027816);the Young Elite Scientists Sponsorship Program by CAST(No.2021QNRC001);the Natural Science Foundation of Henan Province(No.212300410410);the China Postdoctoral Science Foundation(Nos.2018M630830 and 2019T120631).
Humidity sensors with high sensitivity,rapid response,and facile fabrication process for contactless sensing applications have received considerable attention in recent years.Herein,humidity sensors based on hexagonal...
关键词:boron nitride humidity sensors contactless detection speech recognition 
Improving Speech Enhancement Framework via Deep Learning
《Computers, Materials & Continua》2023年第5期3817-3832,共16页Sung-Jung Hsiao Wen-Tsai Sung 
This research was supported by the Department of Electrical Engineering at National Chin-Yi University of Technology.The authors would like to thank the National Chin-Yi University of Technology,TakmingUniversity of Science and Technology,Taiwan,for supporting this research.
Speech plays an extremely important role in social activities.Many individuals suffer from a“speech barrier,”which limits their communication with others.In this study,an improved speech recognitionmethod is propose...
关键词:Artificial intelligence speech recognition speech to text CTC-CNN 
An Optimal Method for Speech Recognition Based on Neural Network
《Intelligent Automation & Soft Computing》2023年第5期1951-1961,共11页Mohamad Khairi Ishak DagØivind Madsen Fahad Ahmed Al-Zahrani 
the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4170008DSR06).
Natural language processing technologies have become more widely available in recent years,making them more useful in everyday situations.Machine learning systems that employ accessible datasets and corporate work to ...
关键词:Machine learning neural networks speech recognition signal processing learning process fluency and accuracy 
Challenges and Limitations in Speech Recognition Technology:A Critical Review of Speech Signal Processing Algorithms,Tools and Systems
《Computer Modeling in Engineering & Sciences》2023年第5期1053-1089,共37页Sneha Basak Himanshi Agrawal Shreya Jena Shilpa Gite Mrinal Bachute Biswajeet Pradhan Mazen Assiri 
Speech recognition systems have become a unique human-computer interaction(HCI)family.Speech is one of the most naturally developed human abilities;speech signal processing opens up a transparent and hand-free computa...
关键词:Speech recognition automatic speech recognition(ASR) mel-frequency cepstral coefficients(MFCC) hidden Markov model(HMM) artificial neural network(ANN) 
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