Multi-Distributed Speech Emotion Recognition Based on Mel Frequency Cepstogram and Parameter Transfer
文献类型：期刊论文
| 作者 | Lin Long1; Tan Liang1,2 |
| 刊名 | CHINESE JOURNAL OF ELECTRONICS
 |
| 出版日期 | 2022 |
| 卷号 | 31期号:1页码:155-167 |
| 关键词 | Speech emotion recognition (SER) Machine learning Mel frequency cepstogram (MFCC) Parameter transfer Long short-term memory (LSTM) Inception-v3 |
| ISSN号 | 1022-4653 |
| DOI | 10.1049/cje.2020.00.080 |
| 英文摘要 | Speech emotion recognition (SER) is the use of speech signals to estimate the state of emotion. At present, machine learning is one of the main research methods of SER, the test and training dataS of traditional machine learning all have the same distribution and feature space, but the data of speech is accessed from different environments and devices, with different distribution characteristics in real life. Thus, the traditional machine learning method is applied to the poor performance of SER. This paper proposes a multi-distributed SER method based on Mel frequency cepstogram (MFCC) and parameter transfer. The method is based on single-layer long short-term memory (LSTM), pre-trained inception-v3 network and multi-distribution corpus. The speech pre-processed MFCC is taken as the input of single-layer LSTM, and input to the pre-trained inception-v3 network. The features are extracted through the pre-trained inception-v3 model. Then the features are sent to the newly defined the fully connected layer and classification layer, let the parameters of the fully connected layer be fine-tuned, finally get the classification result. The experiment proves that the method can effectively complete the classification of multi-distribution speech emotions and is more effective than the traditional machine learning framework of SER. |
| 资助项目 | National Natural Science Foundation of China[61373162] ; Sichuan Science and Technology Support Project[2019YFG0183] ; Visual Computing and Virtual Reality Sichuan Provincial Key Laboratory Project[KJ201402] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000749672400018 |
| 出版者 | WILEY |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19014]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Tan Liang |
| 作者单位 | 1.Sichuan Normal Univ, Sch Comp Sci, Chengdu 610101, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin Long,Tan Liang. Multi-Distributed Speech Emotion Recognition Based on Mel Frequency Cepstogram and Parameter Transfer[J]. CHINESE JOURNAL OF ELECTRONICS,2022,31(1):155-167. |
| APA | Lin Long,&Tan Liang.(2022).Multi-Distributed Speech Emotion Recognition Based on Mel Frequency Cepstogram and Parameter Transfer.CHINESE JOURNAL OF ELECTRONICS,31(1),155-167. |
| MLA | Lin Long,et al."Multi-Distributed Speech Emotion Recognition Based on Mel Frequency Cepstogram and Parameter Transfer".CHINESE JOURNAL OF ELECTRONICS 31.1(2022):155-167. |
入库方式： OAI收割
来源：计算技术研究所
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