Autor: |
Pham Tuan Dat, Le The Anh |
Rok vydání: |
2019 |
Předmět: |
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Zdroj: |
2019 6th NAFOSTED Conference on Information and Computer Science (NICS). |
Popis: |
One of the major long-standing challenges in the task of sound recognition is the ability to recognize gender and age group from human speech. Although research projects in this subject achieve noticeable results but the accuracy is not as high as expectation. Therefore this paper aims at building one convolutional neural network-based model to classify gender and age group from human speech. We evaluate accuracy of prediction of our model on three audio sets and achieve impressive results compared with some other ones. In addition, we compare results of our study with several published articles. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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