Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise

C. Valentini-Botinhao; J. Yamagishi; S. King; Y. Stylianou

Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise

C. Valentini-Botinhao, J. Yamagishi, S. King, Y. Stylianou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Interspeech 2013
Publication status	Published - 1 Aug 2013

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Combining perceptually-motivated spectral shapingAccepted author manuscript, 660 KB

http://www.isca-speech.org/archive/interspeech_2013/i13_3567.html

Deep architectures for statistical speech synthesis
Yamagishi, J. (Principal Investigator)
UK industry, commerce and public corporations
4/09/12 → 3/03/16
Project: Research
LISTA: LISTA- The Listening Talker (RTGS)
King, S. (Principal Investigator), Mayo, C. (Co-investigator) & Renals, S. (Co-investigator)
EU government bodies
1/05/10 → 30/04/13
Project: Research

EACL 2014 keynote: Speech synthesis needs YOU!
King, S. (Speaker)
29 Apr 2014
Activity: Academic talk or presentation types › Invited talk

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Cite this

@inproceedings{b741f0e22f7d4c4f9d19b9793645478a,

title = "Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise",

author = "C. Valentini-Botinhao and J. Yamagishi and S. King and Y. Stylianou",

year = "2013",

month = aug,

day = "1",

language = "English",

booktitle = "Interspeech 2013",

}

Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise

Access to Document

Projects

Deep architectures for statistical speech synthesis

LISTA: LISTA- The Listening Talker (RTGS)

Activities

EACL 2014 keynote: Speech synthesis needs YOU!

Cite this