NDLI: An HMM-based speech synthesis system applied to English

Content Provider	IEEE Xplore Digital Library
Copyright Year	2002
Abstract	This paper describes an HMM-based speech synthesis system (HTS), in which the speech waveform is generated from HMM themselves, and applies it to English speech synthesis using the general speech synthesis architecture of Festival. Similarly to other data-driven speech synthesis approaches, HTS has a compact language dependent module: a list of contextual factors. Thus, it could easily be extended to other languages, though the first version of HTS was implemented for Japanese. The resulting run-time engine of HTS has the advantage of being small: less than 1 Mbyte, excluding text analysis part. Furthermore, HTS can easily change voice characteristics of synthesized speech by using a speaker adaptation technique developed for speech recognition. The relation between the HMM-based approach and other unit selection approaches is also discussed.
Sponsorship	IEEE Signal Process. Soc
Starting Page	227
Ending Page	230
File Size	416578
Page Count	4
File Format	PDF
ISBN	0780373952
DOI	10.1109/WSS.2002.1224415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Runtime Databases Natural languages Hidden Markov models High temperature superconductors Speech synthesis Signal synthesis Engines Parameter extraction
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Arabic HMM-based speech synthesis

Evaluation of HMM-based laughter synthesis

Integration and evaluation of an HMM-based Text-To-Speech System to five

A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages

Word-level emphasis modelling in HMM-based speech synthesis

Speech parameter generation algorithms for HMM-based speech synthesis

Implementation of speech synthesis based on HMM using PADAS database

An HMM-based Vietnamese speech synthesis system

HMM-Based Uyghur Continuous Speech Recognition System

An HMM-based speech synthesis system applied to English

Similar Documents

Arabic HMM-based speech synthesis

Evaluation of HMM-based laughter synthesis

Integration and evaluation of an HMM-based Text-To-Speech System to five

A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages

Word-level emphasis modelling in HMM-based speech synthesis

Speech parameter generation algorithms for HMM-based speech synthesis

Implementation of speech synthesis based on HMM using PADAS database

An HMM-based Vietnamese speech synthesis system

HMM-Based Uyghur Continuous Speech Recognition System

An HMM-based speech synthesis system applied to English