Computer Speech Recognition Technology and Graphic Shape Design
In order to solve the problem of lack of multimodal emotional database, a computer speech recognition technology and graphic form design research were proposed. Using the hidden Markov model (HMM) to recognize speech emotion is mainly to provide emotion type for the subsequent expression fusion. Whe...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/5603992 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850230938238189568 |
|---|---|
| author | Yuxi Niu |
| author_facet | Yuxi Niu |
| author_sort | Yuxi Niu |
| collection | DOAJ |
| description | In order to solve the problem of lack of multimodal emotional database, a computer speech recognition technology and graphic form design research were proposed. Using the hidden Markov model (HMM) to recognize speech emotion is mainly to provide emotion type for the subsequent expression fusion. When the emotion category in the speech is obtained, the facial animation parameter (FAP) corresponding to the speech emotion can be combined with the lip movement FAP based on the Moving Pictures Experts Group (MPEG-4) face animation standard to obtain a comprehensive FAP. The results show that the recognition effect of speech emotion recognition in the method used in this paper is relatively better than that obtained by other literature methods, and the average recognition rate reaches 70.24%, which is higher than the other three methods. It is verified that this method can present a better recognition effect. |
| format | Article |
| id | doaj-art-05ea278bcaf945da8a5d914099b0422e |
| institution | OA Journals |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-05ea278bcaf945da8a5d914099b0422e2025-08-20T02:03:42ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5603992Computer Speech Recognition Technology and Graphic Shape DesignYuxi Niu0Eurasia University in Xi’anIn order to solve the problem of lack of multimodal emotional database, a computer speech recognition technology and graphic form design research were proposed. Using the hidden Markov model (HMM) to recognize speech emotion is mainly to provide emotion type for the subsequent expression fusion. When the emotion category in the speech is obtained, the facial animation parameter (FAP) corresponding to the speech emotion can be combined with the lip movement FAP based on the Moving Pictures Experts Group (MPEG-4) face animation standard to obtain a comprehensive FAP. The results show that the recognition effect of speech emotion recognition in the method used in this paper is relatively better than that obtained by other literature methods, and the average recognition rate reaches 70.24%, which is higher than the other three methods. It is verified that this method can present a better recognition effect.http://dx.doi.org/10.1155/2022/5603992 |
| spellingShingle | Yuxi Niu Computer Speech Recognition Technology and Graphic Shape Design Advances in Multimedia |
| title | Computer Speech Recognition Technology and Graphic Shape Design |
| title_full | Computer Speech Recognition Technology and Graphic Shape Design |
| title_fullStr | Computer Speech Recognition Technology and Graphic Shape Design |
| title_full_unstemmed | Computer Speech Recognition Technology and Graphic Shape Design |
| title_short | Computer Speech Recognition Technology and Graphic Shape Design |
| title_sort | computer speech recognition technology and graphic shape design |
| url | http://dx.doi.org/10.1155/2022/5603992 |
| work_keys_str_mv | AT yuxiniu computerspeechrecognitiontechnologyandgraphicshapedesign |