Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference47 articles.
1. Shrawankar, U., & Thakare V. (2010). Feature extraction for a speech recognition system in noisy environment: A study. In: 2010 second international conference on computer engineering and applications (pp. 358–361). Bali, Indonesia.
2. Chaloupka, J., Červa, P., Silovský, J., Žd'ánský, J. & Nouza, J. (2012). Modification of the speech feature extraction module for the improvement of the system for automatic lectures transcription. In: Proceedings ELMAR-2012 (pp. 223–226). Zadar, Croatia.
3. Chadha, A. N., Zaveri, M. A., & Sarvaiya, J. N. (2016). Optimal feature extraction and selection techniques for speech processing: A review. In: International conference on communication and signal processing (ICCSP) (pp. 1669–1673). Melmaruvathur, India.
4. Letaifa, L. B., Torres, M. I., & Justo, R. (2020). Adding dimensional features for emotion recognition on speech. In: 2020 5th international conference on advanced technologies for signal and image processing (ATSIP) (pp. 1–6). Sousse, Tunisia.
5. Strengers, Y., & Kennedy, J. (2020). 1 Meet the smart wife. In: The smart wife: Why Siri, Alexa, and other smart home devices need a feminist reboot (pp.1–22). MIT Press.