Age and Gender Recognition from Speech Using Deep Neural Networks

Author:

Sánchez-Hevia Héctor A.,Gil-Pita Roberto,Utrilla-Manso Manuel,Rosa-Zurera Manuel

Publisher

Springer International Publishing

Reference28 articles.

1. Abadi, M., Agarwal, A., Barham, P., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). http://tensorflow.org/ . Software available from tensorflow.org

2. Badshah, A., Ahmad, J., Rahim, N., Baik, S.: Speech emotion recognition from spectrograms with deep convolutional neural network. In: 2017 International Conference on Platform Technology and Service (PlatCon), pp. 1–5 (2017)

3. Bahari, M., McLaren, M., Van Leeuwen, D., et al.: Age estimation from telephone speech using i-vectors. In: Proceedings of Interspeech 2012. Portland, USA (2012)

4. Bai, S., Kolter, J., Koltun, V.: An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arxiv 2018. arXiv preprint arXiv:1803.01271

5. Bhat, C., Mithum, B., Saxena, V., Kulkarni, V., Kopparapu, S.: Deploying usable speech enabled IVR systems for mass use. In: 2013 IEEE International Conference on Human Computer Interaction (ICHCI), pp. 1–5 (2013)

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