NDLI: Speaker intonation adaptation for transforming text-to-speech synthesis speaker identity

Content Provider	IEEE Xplore Digital Library
Author	Langarani, Mahsa Sadat Elyasi van Santen, Jan
Copyright Year	2015
Description	Author affiliation: Center for Spoken Language Understanding, Oregon Health & Science University, Portland, OR, USA (Langarani, Mahsa Sadat Elyasi; van Santen, Jan)
Abstract	In this study, we propose a new intonation adaptation method to transform the perceived identity of a Text-To-Speech system to that of a target speaker with a small amount of training data. In the proposed method, during training we fit parametrized accent and phrase curves to parallel recordings of the target speaker F0 curves, and estimate the parameters of a mapping between the corresponding parameter spaces. During test, we fit the accent and phrase curves to the source utterances, apply the mapping, and create an F0 contour from the mapped accent and phrase curves. We compare the proposed method with a baseline adaptation method in which the source F0 contour is transformed linearly such that the per-utterance mean and variance of the target F0 contour is left unaltered. Perceptual tests showed that the proposed method was better than the baseline method in two subjective tests that assess similarity to the target speaker and speech quality, respectively.
Starting Page	116
Ending Page	123
File Size	2169709
Page Count	8
File Format	PDF
e-ISBN	9781479972913
DOI	10.1109/ASRU.2015.7404783
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Hidden Markov models Adaptation models Speech Feature extraction Training Transforms Adaptation Prosody Intonation modeling Text-to-Speech synthesis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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