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Lin He, Shengnan Wang and Xinran Cao
Shipping Enterprise Credit Named Entity Recognition (NER) aims to recognize shipping enterprise credit entities from unstructured shipping enterprise credit texts. Aiming at the problem of low entity recognition rate caused by complex and diverse entitie...
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Shiyu Zhang, Jianguo Kong, Chao Chen, Yabin Li and Haijun Liang
The rise of end-to-end (E2E) speech recognition technology in recent years has overturned the design pattern of cascading multiple subtasks in classical speech recognition and achieved direct mapping of speech input signals to text labels. In this study,...
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Jeong-Uk Bang, Sang-Hun Kim and Oh-Wook Kwon
We propose a method to extend a phoneme set by using a large amount of broadcast data to improve the performance of Korean spontaneous speech recognition. In the proposed method, we first extract variable-length phoneme-level segments from broadcast data...
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Tessfu Geteye Fantaye, Junqing Yu and Tulu Tilahun Hailu
Deep neural networks (DNNs) have shown a great achievement in acoustic modeling for speech recognition task. Of these networks, convolutional neural network (CNN) is an effective network for representing the local properties of the speech formants. Howev...
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Sandrine Tornay and Mathew Magimai.-Doss
Communication languages convey information through the use of a set of symbols or units. Typically, this unit is word. When developing language technologies, as words in a language do not have the same prior probability, there may not be sufficient train...
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Jingren Zhang, Fang?ai Liu, Weizhi Xu and Hui Yu
Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained wide recognition in the field of natural language processing. However, due to the pre- and post-dependence of natural language structure, relying solely on CNN to implement...
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O. M. Karpov,O. O. Savenkova
Pág. 13 - 17
Algorithm of segment-syllabic synthesis of time-spectrum parameters for the model of speech recognition block is introduced.
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