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Sensors & Transducers



Vol. 242, Issue 3, March 2020, pp. 1-5
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Novel Speech Endpoint Detection Algorithm for Voice Detectors in Interaction of Intelligent Terminals



1, * Jixiang LU and 2 Xiao HAN



1 School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China

2 Hamburg University of Technology, Hamburg, 21107, Germany

1 Tel.: +86 13319288957 (CHN)

E-mail: lujixiang@nwpu.edu.cn



Received: 29 February 2020 /Accepted: 25 March 2020 /Published: 31 March 2020





Abstract: The human-computer interaction technology of intelligent terminals has totally altered from computer-centered to natural-oriented human-centered paradigm. As the most natural interaction mode of human beings, speech interaction has become a hot topic in both research and application fields in recent years. In the practical application environment of speech interaction technology, a signal recognition and processing method is required to get clean speech from the noisy speech. This paper presents a speech enhancement technique which is based on improved spectrum subtraction by using auditory masking effect, and introduces a novel speech endpoint detection algorithm, which overcomes the influence of music noise and extracts pure speech.


Keywords: Intelligent terminals, Human-computer interaction, Voice detector, Cloud computing.

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