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- W164428382 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." @default.
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- W164428382 date "2011-01-01" @default.
- W164428382 modified "2023-09-27" @default.
- W164428382 title "Development of Web-Based Voice Interface to Identify Child Users Based on Automatic Speech Recognition System" @default.
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- W164428382 doi "https://doi.org/10.1007/978-3-642-21619-0_73" @default.
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