Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks
The speech signal contains a vast spectrum of information about the speaker such as speakers’ gender, age, accent, or health state. In this paper, we explored different approaches to automatic speaker’s gender classification and age estimation system using speech signals. We applied various Deep Neu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/14/4785 |
| _version_ | 1797526052845649920 |
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| author | Damian Kwasny Daria Hemmerling |
| author_facet | Damian Kwasny Daria Hemmerling |
| author_sort | Damian Kwasny |
| collection | DOAJ |
| description | The speech signal contains a vast spectrum of information about the speaker such as speakers’ gender, age, accent, or health state. In this paper, we explored different approaches to automatic speaker’s gender classification and age estimation system using speech signals. We applied various Deep Neural Network-based embedder architectures such as x-vector and d-vector to age estimation and gender classification tasks. Furthermore, we have applied a transfer learning-based training scheme with pre-training the embedder network for a speaker recognition task using the Vox-Celeb1 dataset and then fine-tuning it for the joint age estimation and gender classification task. The best performing system achieves new state-of-the-art results on the age estimation task using popular TIMIT dataset with a mean absolute error (MAE) of 5.12 years for male and 5.29 years for female speakers and a root-mean square error (RMSE) of 7.24 and 8.12 years for male and female speakers, respectively, and an overall gender recognition accuracy of 99.60%. |
| first_indexed | 2024-03-10T09:24:40Z |
| format | Article |
| id | doaj.art-5b1ca9f8d6004e619e3bbfa7d5d0adab |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:24:40Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5b1ca9f8d6004e619e3bbfa7d5d0adab2023-11-22T04:56:03ZengMDPI AGSensors1424-82202021-07-012114478510.3390/s21144785Gender and Age Estimation Methods Based on Speech Using Deep Neural NetworksDamian Kwasny0Daria Hemmerling1Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, PolandDepartment of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, PolandThe speech signal contains a vast spectrum of information about the speaker such as speakers’ gender, age, accent, or health state. In this paper, we explored different approaches to automatic speaker’s gender classification and age estimation system using speech signals. We applied various Deep Neural Network-based embedder architectures such as x-vector and d-vector to age estimation and gender classification tasks. Furthermore, we have applied a transfer learning-based training scheme with pre-training the embedder network for a speaker recognition task using the Vox-Celeb1 dataset and then fine-tuning it for the joint age estimation and gender classification task. The best performing system achieves new state-of-the-art results on the age estimation task using popular TIMIT dataset with a mean absolute error (MAE) of 5.12 years for male and 5.29 years for female speakers and a root-mean square error (RMSE) of 7.24 and 8.12 years for male and female speakers, respectively, and an overall gender recognition accuracy of 99.60%.https://www.mdpi.com/1424-8220/21/14/4785speech processingneural networksgender classificationage estimationx-vector |
| spellingShingle | Damian Kwasny Daria Hemmerling Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks Sensors speech processing neural networks gender classification age estimation x-vector |
| title | Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks |
| title_full | Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks |
| title_fullStr | Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks |
| title_full_unstemmed | Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks |
| title_short | Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks |
| title_sort | gender and age estimation methods based on speech using deep neural networks |
| topic | speech processing neural networks gender classification age estimation x-vector |
| url | https://www.mdpi.com/1424-8220/21/14/4785 |
| work_keys_str_mv | AT damiankwasny genderandageestimationmethodsbasedonspeechusingdeepneuralnetworks AT dariahemmerling genderandageestimationmethodsbasedonspeechusingdeepneuralnetworks |