A speech communication educational platform with high-capacity information hiding scheme.

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Title: A speech communication educational platform with high-capacity information hiding scheme.
Authors: Lin, Rong-San1 (AUTHOR) rslin@stust.edu.tw
Source: International Journal of Electrical Engineering Education. Jul2025, Vol. 62 Issue 3, p195-213. 19p.
Subject Terms: *Digital learning, *Intelligibility of speech, Discrete cosine transforms, Digital signal processing, Speech processing systems, Oral communication
Abstract: A novel educational platform for voice over Internet protocol speech communication is proposed in this paper with the aim of further presenting a course of digital speech signal processing. The proposed platform can transmit a speech signal while a secret message is simultaneously embedded in the transmitted encoded bits of this speech signal. Data hiding techniques usually consider two issues, embedding capacity and speech quality. Consequently, in order to achieve high embedding capacity and good speech quality, a data hiding scheme combining discrete cosine transform and voice activity detection algorithms is presented in this paper. This work has two major contributions. First, the embedding capacity of secret speech is increased by 95%, while maintaining good secret speech quality because the secret speech is firstly encoded before embedding into the cover (carrier) speech. Secondly, the characteristics of speech signals can be understood and the proposed information hiding technique for speech signals can be explored. The results of an imperceptibility evaluation indicated that the average perceptual evaluation of the speech quality score degraded slightly by 0.03 relative to that of the cover speech that had no hidden data. The experimental results showed that our proposed hiding scheme not only achieves imperceptibility but also provides a high data-embedding capacity at an average of 8252 bits per second. Objective and subjective evaluations verified that our proposed hiding scheme can achieve a large data-embedding capacity with imperceptible distortion in the stego-speech quality. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A speech communication educational platform with high-capacity information hiding scheme.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Rong-San%22">Lin, Rong-San</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rslin@stust.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Engineering+Education%22">International Journal of Electrical Engineering Education</searchLink>. Jul2025, Vol. 62 Issue 3, p195-213. 19p.
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  Data: *<searchLink fieldCode="DE" term="%22Digital+learning%22">Digital learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligibility+of+speech%22">Intelligibility of speech</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+cosine+transforms%22">Discrete cosine transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+signal+processing%22">Digital signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+processing+systems%22">Speech processing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Oral+communication%22">Oral communication</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A novel educational platform for voice over Internet protocol speech communication is proposed in this paper with the aim of further presenting a course of digital speech signal processing. The proposed platform can transmit a speech signal while a secret message is simultaneously embedded in the transmitted encoded bits of this speech signal. Data hiding techniques usually consider two issues, embedding capacity and speech quality. Consequently, in order to achieve high embedding capacity and good speech quality, a data hiding scheme combining discrete cosine transform and voice activity detection algorithms is presented in this paper. This work has two major contributions. First, the embedding capacity of secret speech is increased by 95%, while maintaining good secret speech quality because the secret speech is firstly encoded before embedding into the cover (carrier) speech. Secondly, the characteristics of speech signals can be understood and the proposed information hiding technique for speech signals can be explored. The results of an imperceptibility evaluation indicated that the average perceptual evaluation of the speech quality score degraded slightly by 0.03 relative to that of the cover speech that had no hidden data. The experimental results showed that our proposed hiding scheme not only achieves imperceptibility but also provides a high data-embedding capacity at an average of 8252 bits per second. Objective and subjective evaluations verified that our proposed hiding scheme can achieve a large data-embedding capacity with imperceptible distortion in the stego-speech quality. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/0020720918787456
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      – Code: eng
        Text: English
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      – SubjectFull: Digital learning
        Type: general
      – SubjectFull: Intelligibility of speech
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      – SubjectFull: Discrete cosine transforms
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      – SubjectFull: Digital signal processing
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      – SubjectFull: Speech processing systems
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              M: 07
              Text: Jul2025
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