Presentation 2013-06-13
A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Spectral Compensation and Statistical Source Excitation Generation
Kou TANAKA, Tomoki TODA, Graham NEUBIG, Sakriani SAKTI, Satoshi NAKAMURA,
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Abstract(in English) We present a hybrid approach to improving naturalness of electrolaryngeal (EL) speech while minimizing degradation in listenability. An electrolarynx is a device that artificially generates excitation sounds to enable laryngectomees to produce EL speech. Although proficient laryngectomees can produce quite intelligible EL speech, it sounds very unnatural due to the mechanical excitation produced by the device. Moreover, the excitation sounds produced by the device often leak outside, adding noise to EL speech. To address these issues, we propose a hybrid method using the noise reduction method for enhancing spectral parameters and voice conversion method for predicting excitation parameters. The experimental results demonstrate the proposed method yields significant improvements in naturalness compared with EL speech while keeping listenability high enough.
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Keyword(in English) speaking-aid / electrolaryngeal speech / spectral subtraction / voice conversion / hybrid approach
Paper # SP2013-37,WIT2013-7
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Committee WIT
Conference Date 2013/6/6(1days)
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Registration To Well-being Information Technology(WIT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Spectral Compensation and Statistical Source Excitation Generation
Sub Title (in English)
Keyword(1) speaking-aid
Keyword(2) electrolaryngeal speech
Keyword(3) spectral subtraction
Keyword(4) voice conversion
Keyword(5) hybrid approach
1st Author's Name Kou TANAKA
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Tomoki TODA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Graham NEUBIG
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Sakriani SAKTI
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
5th Author's Name Satoshi NAKAMURA
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2013-06-13
Paper # SP2013-37,WIT2013-7
Volume (vol) vol.113
Number (no) 77
Page pp.pp.-
#Pages 6
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