Research on the Introduction to Models used in Speech Recognition
- DOI
- 10.2991/assehr.k.220504.363How to use a DOI?
- Keywords
- Artificial Intelligence; Speech Recognition; HMM; ANN
- Abstract
The theoretical basis of Artificial Intelligence (AI) has been established since the middle of the last century. After 1970, after John McCarthy and others established an AI laboratory at MIT, the first batch of scholars and technologies began to emerge, and AI began to flourish. path of. Today, AI is still the focus and frontier of today’s science and technology. After decades of technological precipitation, AI covers a wider range of aspects, and the knowledge system is huge and increasingly complex. Therefore, this article will introduce the basic principles and models of AI from the perspective of speech recognition. By consulting the relevant literature, this article will specifically introduce the hidden Markov model and the artificial neural network model. After the summary of these papers, we found that the hidden Markov model has very good time series modeling ability, but the classification ability is not strong. The latter has excellent classification capabilities, but cannot describe time-varying information well. Therefore, this article combines the two models. After consulting the literature, I finally found that the combination of the two models is a good choice and has great potential for development.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Xinsheng Wu PY - 2022 DA - 2022/06/01 TI - Research on the Introduction to Models used in Speech Recognition BT - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) PB - Atlantis Press SP - 2014 EP - 2020 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220504.363 DO - 10.2991/assehr.k.220504.363 ID - Wu2022 ER -