A Helium Speech Unscrambling Algorithm Based on Deep Learning
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. First, an isolated helium speech corpus and a continuous helium speec...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/14/3/189 |
| _version_ | 1797611127825235968 |
|---|---|
| author | Yonghong Chen Shibing Zhang |
| author_facet | Yonghong Chen Shibing Zhang |
| author_sort | Yonghong Chen |
| collection | DOAJ |
| description | 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. First, an isolated helium speech corpus and a continuous helium speech corpus in a normal atmosphere are constructed, and an algorithm to automatically generate label files is proposed. Then, a convolution neural network (CNN), connectionist temporal classification (CTC) and a transformer are combined into a speech recognition network. Finally, an optimization algorithm is proposed to improve the recognition of continuous helium speech, which combines depth-wise separable convolution (DSC), a gated linear unit (GLU) and a feedforward neural network (FNN). The experimental results show that the accuracy of the algorithm, upon combining the CNN, CTC and the transformer, is 91.38%, and the optimization algorithm improves the accuracy of continuous helium speech recognition by 9.26%. |
| first_indexed | 2024-03-11T06:24:25Z |
| format | Article |
| id | doaj.art-c9a18f84541e44679bcf47e32ea8db1c |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-11T06:24:25Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-c9a18f84541e44679bcf47e32ea8db1c2023-11-17T11:44:20ZengMDPI AGInformation2078-24892023-03-0114318910.3390/info14030189A Helium Speech Unscrambling Algorithm Based on Deep LearningYonghong Chen0Shibing Zhang1School of Information Engineering, Jiangsu College of Engineering and Technology, Nantong 226006, ChinaSchool of Information Science and Technology, Nantong University, Nantong 226019, ChinaHelium 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. First, an isolated helium speech corpus and a continuous helium speech corpus in a normal atmosphere are constructed, and an algorithm to automatically generate label files is proposed. Then, a convolution neural network (CNN), connectionist temporal classification (CTC) and a transformer are combined into a speech recognition network. Finally, an optimization algorithm is proposed to improve the recognition of continuous helium speech, which combines depth-wise separable convolution (DSC), a gated linear unit (GLU) and a feedforward neural network (FNN). The experimental results show that the accuracy of the algorithm, upon combining the CNN, CTC and the transformer, is 91.38%, and the optimization algorithm improves the accuracy of continuous helium speech recognition by 9.26%.https://www.mdpi.com/2078-2489/14/3/189helium speechspeech recognitiondeep learningcorpus |
| spellingShingle | Yonghong Chen Shibing Zhang A Helium Speech Unscrambling Algorithm Based on Deep Learning Information helium speech speech recognition deep learning corpus |
| title | A Helium Speech Unscrambling Algorithm Based on Deep Learning |
| title_full | A Helium Speech Unscrambling Algorithm Based on Deep Learning |
| title_fullStr | A Helium Speech Unscrambling Algorithm Based on Deep Learning |
| title_full_unstemmed | A Helium Speech Unscrambling Algorithm Based on Deep Learning |
| title_short | A Helium Speech Unscrambling Algorithm Based on Deep Learning |
| title_sort | helium speech unscrambling algorithm based on deep learning |
| topic | helium speech speech recognition deep learning corpus |
| url | https://www.mdpi.com/2078-2489/14/3/189 |
| work_keys_str_mv | AT yonghongchen aheliumspeechunscramblingalgorithmbasedondeeplearning AT shibingzhang aheliumspeechunscramblingalgorithmbasedondeeplearning AT yonghongchen heliumspeechunscramblingalgorithmbasedondeeplearning AT shibingzhang heliumspeechunscramblingalgorithmbasedondeeplearning |