Results 11 to 20 of about 423 (132)
IET Image ProcessingLicense plate recognition is crucial in Intelligent Transportation Systems (ITS) for vehicle management, traffic monitoring, and security inspection.
Liru Hua +5 more
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A Helium Speech Unscrambling Algorithm Based on Deep Learning
Information, 2023 Helium speech, the language spoken by divers in the deep sea who breathe a high-pressure helium–oxygen mixture, is almost unintelligible. To accurately unscramble helium speech, a neural network based on deep learning is proposed.
Yonghong Chen, Shibing Zhang
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Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language
Sensors, 2022 Communication has been an important aspect of human life, civilization, and globalization for thousands of years. Biometric analysis, education, security, healthcare, and smart cities are only a few examples of speech recognition applications.
Abdinabi Mukhamadiyev +3 more
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JSUM: A Multitask Learning Speech Recognition Model for Jointly Supervised and Unsupervised Learning
Applied Sciences, 2023 In recent years, the end-to-end speech recognition model has emerged as a popular alternative to the traditional Deep Neural Network—Hidden Markov Model (DNN-HMM).
Nurmemet Yolwas, Weijing Meng
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Mandarin recognition and improvement based on CTC criterion [PDF]
Jisuanji gongcheng, 2019 The cross-entropy criterion of mainstream neural network training classifies and optimizes each frame of acoustic data, while the continuous speech recognition uses the sequence-level transcription accuracy as the performance measurement.For this ...
ZHANG Limin,WANG Yanzhe,ZHANG Bingqiang,ZHU Nianbin
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Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
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Applied Sciences, 2021 A Recurrent Neural Networks (RNN) based attention model has been used in code-switching speech recognition (CSSR). However, due to the sequential computation constraint of RNN, there are stronger short-range dependencies and weaker long-range ...
Zheying Huang +5 more
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Speech Recognition Transformer Decoding Acceleration Method with Discarding Redundant Blocks [PDF]
Jisuanji gongcheng, 2023 Transformer and its variants have become mainstream models in the field of speech recognition owing to their excellent contextual modeling capabilities. Although they can achieve good recognition results, the decoding speed is limited because the decoder
Dechun ZHAO, Yang SHU, Ling LI, Huan CHEN, Zihao ZHANG
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A Linear Memory CTC-Based Algorithm for Text-to-Voice Alignment of Very Long Audio Recordings
Applied Sciences, 2023 Synchronisation of a voice recording with the corresponding text is a common task in speech and music processing, and is used in many practical applications (automatic subtitling, audio indexing, etc.).
Guillaume Doras +2 more
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Towards end-to-end speech recognition with transfer learning
EURASIP Journal on Audio, Speech, and Music Processing, 2018 A transfer learning-based end-to-end speech recognition approach is presented in two levels in our framework. Firstly, a feature extraction approach combining multilingual deep neural network (DNN) training with matrix factorization algorithm is ...
Chu-Xiong Qin, Dan Qu, Lian-Hai Zhang
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