Abstract
We propose a method to identify child speakers, which can be adopted in Web filtering systems to protect children from the dangers of the Internet. The proposed child identification method was developed relies on an automatic speech recognition (ASR) algorithm, that uses an acoustic hidden Markov model (HMM) and a support vector machine (SVM). To extend the proposed method for use in a Web application, we used our voice-enabled Web system (the w3voice system) as a front-end interface for a prototype system. In this paper, we present an overview of the prototype system to elucidate our proposal. We also evaluate the efficacy of the proposed method in identifying child speakers by using voices captured from real Web users.
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Nisimura, R., Miyamori, S., Kurihara, L., Kawahara, H., Irino, T. (2011). Development of Web-Based Voice Interface to Identify Child Users Based on Automatic Speech Recognition System. In: Jacko, J.A. (eds) Human-Computer Interaction. Users and Applications. HCI 2011. Lecture Notes in Computer Science, vol 6764. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21619-0_73
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DOI: https://doi.org/10.1007/978-3-642-21619-0_73
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