Intelligent English Language Translation And Grammar Learning Based On Internet Of Things Technology

Author:

Chen Yuanyuan12ORCID

Affiliation:

1. Office of Science and Technology Administration, Zhengzhou University of Economics and Business, Zhengzhou, He Nan, 451191, China

2. Intelligent English Translation; Grammar Learning; Internet of Things Technology; Artificial Intelligence

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference23 articles.

1. Convolutional Neural Networks for Speech Recognition

2. Al-Tamimi , J. ( 2017 ). Revisiting acoustic correlates of pharyngealization in Jordanian and Moroccan Arabic: Implications for formal representations. Laboratory Phonology, 8(1) . Al-Tamimi, J. (2017). Revisiting acoustic correlates of pharyngealization in Jordanian and Moroccan Arabic: Implications for formal representations. Laboratory Phonology, 8(1).

3. Besacier , L. , Barnard , E. , Karpov , A. , & Schultz , T. ( 2014 ). Automatic speech recognition for under-resourced languages: A survey. Speech communication, 56, 85-100 . Besacier, L., Barnard, E., Karpov, A., & Schultz, T. (2014). Automatic speech recognition for under-resourced languages: A survey. Speech communication, 56, 85-100.

4. Discriminative Feature Vector Selection for Emotion Classification Based on Speech

5. Duong , N. Q. , & Duong , H. T. ( 2015 ). A review of audio features and statistical models exploited for voice pattern design. arXiv preprint arXiv:1502.06811 . Duong, N. Q., & Duong, H. T. (2015). A review of audio features and statistical models exploited for voice pattern design. arXiv preprint arXiv:1502.06811.

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