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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/18769

Title: Increasing Speech Intelligibility by Mimicking Professional Announcers’ Voices and Its Physical Correlates
Authors: Tran, Dung Kim
Akagi, Masato
Unoki, Masashi
Keywords: spectral tilt
spectral plateau
cepstral peak prominence
voice conversion
Issue Date: 2023-10-31
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Start page: 1187
End page: 1192
DOI: 10.1109/APSIPAASC58517.2023.10317261
Abstract: Previous studies found that speech uttered by professional announcers is more intelligible than that by nonexperts in noisy environments. On the basis of this finding, we developed a voice-conversion (VC) system to mimic professional announcers’ voices by modifying the speaker embedding of nonexpert speech. The results from our experiments to evaluate this system indicated that intelligibility increased significantly with this system. In this paper, to discuss what physical features correlate to the intelligibility, the following two issues are investigated by analyzing this system: (1) whether speech intelligibility can be changed gradually even by shifting one PCA (principal component analysis) component of the speaker embedding of the above VC system and (2) what physical features are changed when the PCA component is shifted, we retrained the VC system with a larger amount of training data. Comparing the speech intelligibility and candidate features that were changed with the shift of one axis of PCA, we found that spectral tilt, spectral plateau, and cepstral peak prominence are strongly correlated with intelligibility.
Rights: This is the author's version of the work. Copyright (C) 2023 IEEE. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Taipei, Taiwan, 2023, pp. 1187-1192, doi: 10.1109/APSIPAASC58517.2023.10317261. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/18769
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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