Vocal Source Builds Divergence in Gender Recognition
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3690-5_16
Reference5 articles.
1. Jadav S (2018) Voice-based gender identification using machine learning. In: 2018 4th international conference on computing communication and automation (ICCCA). Greater Noida, India, pp 1–4. https://doi.org/10.1109/CCAA.2018.8777582
2. Gupta P, Goel S, Purwar A (2018) A stacked technique for gender recognition through voice. In: 2018 eleventh international conference on contemporary computing (IC3) Noida, pp 1–3. https://doi.org/10.1109/IC3.2018.8530520
3. Badhon SM, Rahaman MH, Rupon FR (2019) A machine learning approach to automating Bengali voice based gender classification. In: 2019, 8th international conference on system modeling and advancement in research trends (SMART). https://doi.org/10.1109/smart46866.2019.9117385
4. Hassan B, Ahmed R, Li B, Hassan O, Hassan T (2019) Autonomous framework for person identification by analyzing vocal sounds and speech patterns. In: 2019 5th international conference on control, automation and robotics (ICCAR), Beijing, China, pp 649–653. https://doi.org/10.1109/ICCAR.2019.8813463
5. Chaudhary S, Sharma DK (2018) Gender identification based on voice signal characteristics. In: 2018 international conference on advances in computing, communication control and networking (ICACCCN), Greater Noida (UP), India, pp 869–874. https://doi.org/10.1109/ICACCCN.2018.8748676
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