Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM)
Estimating the age and gender of the speaker has gained great importance in recent years due to its necessity in various commercial, medical and forensic applications. This work estimates the speakers gender and ages in small range of years where every ten years has been divided into two subcategor...
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| Format: | Article |
| Language: | English |
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Tikrit University
2021-07-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/166 |
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| _version_ | 1849426852404264960 |
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| author | Aalaa Ahmed Mohammed Yusra Faisal Al-Irhayim |
| author_facet | Aalaa Ahmed Mohammed Yusra Faisal Al-Irhayim |
| author_sort | Aalaa Ahmed Mohammed |
| collection | DOAJ |
| description |
Estimating the age and gender of the speaker has gained great importance in recent years due to its necessity in various commercial, medical and forensic applications. This work estimates the speakers gender and ages in small range of years where every ten years has been divided into two subcategories for a span of years extending from teens to sixties. A system of speaker age and gender estimation uses Mel Frequency Cepstrum Coefficient (MFCC) as a features extraction method, and Bidirectional Long-Short Term Memory (BiLSTM) as a classification method. Two models of two deep neural networks were building, one for speaker age estimation, and the other for speaker gender estimation. The experimental results show that the deep neural network model of age estimation achieves 94.008 % as accuracy rate, while the deep neural network model of gender estimation achieves 90.816% as accuracy rate.
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| format | Article |
| id | doaj-art-7a4e6787cdb7466c982f4d406b9849ac |
| institution | Kabale University |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-7a4e6787cdb7466c982f4d406b9849ac2025-08-20T03:29:14ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262021-07-0126410.25130/tjps.v26i4.166Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM)Aalaa Ahmed MohammedYusra Faisal Al-Irhayim Estimating the age and gender of the speaker has gained great importance in recent years due to its necessity in various commercial, medical and forensic applications. This work estimates the speakers gender and ages in small range of years where every ten years has been divided into two subcategories for a span of years extending from teens to sixties. A system of speaker age and gender estimation uses Mel Frequency Cepstrum Coefficient (MFCC) as a features extraction method, and Bidirectional Long-Short Term Memory (BiLSTM) as a classification method. Two models of two deep neural networks were building, one for speaker age estimation, and the other for speaker gender estimation. The experimental results show that the deep neural network model of age estimation achieves 94.008 % as accuracy rate, while the deep neural network model of gender estimation achieves 90.816% as accuracy rate. https://tjpsj.org/index.php/tjps/article/view/166speaker age estimationspeaker gender estimationMFCCBiLSTM |
| spellingShingle | Aalaa Ahmed Mohammed Yusra Faisal Al-Irhayim Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) Tikrit Journal of Pure Science speaker age estimation speaker gender estimation MFCC BiLSTM |
| title | Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) |
| title_full | Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) |
| title_fullStr | Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) |
| title_full_unstemmed | Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) |
| title_short | Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM) |
| title_sort | speaker age and gender estimation based on deep learning bidirectional long short term memory bilstm |
| topic | speaker age estimation speaker gender estimation MFCC BiLSTM |
| url | https://tjpsj.org/index.php/tjps/article/view/166 |
| work_keys_str_mv | AT aalaaahmedmohammed speakerageandgenderestimationbasedondeeplearningbidirectionallongshorttermmemorybilstm AT yusrafaisalalirhayim speakerageandgenderestimationbasedondeeplearningbidirectionallongshorttermmemorybilstm |