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INTERSPEECH
2010
14 years 10 months ago
The role of higher-level linguistic features in HMM-based speech synthesis
We analyse the contribution of higher-level elements of the linguistic specification of a data-driven speech synthesiser to the naturalness of the synthetic speech which it genera...
Oliver Watts, Junichi Yamagishi, Simon King
IEAAIE
2011
Springer
14 years 6 months ago
Multiple Source Phoneme Recognition Aided by Articulatory Features
This paper presents an experiment in speech recognition whereby multiple phoneme recognisers are applied to the same utterance. When these recognisers agree on an hypothesis for th...
Mark Kane, Julie Carson-Berndsen
ITNG
2008
IEEE
15 years 9 months ago
Structural Features for Recognizing Degraded Printed Gurmukhi Script
The performance of an OCR system depends upon printing quality of the input document. Many OCRs have been designed which correctly identify fine printed documents in Indian and ot...
Manish Kumar Jindal, Rajendra Kumar Sharma, Gurpre...
CBMS
2006
IEEE
15 years 9 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
SAINT
2006
IEEE
15 years 9 months ago
Filtering Features for a Composite Event Definition Language
This research has enhanced a distributed, rule-based application integration environment with a composite event definition language (CEDL) and detection system. CEDL builds on exi...
Susan Darling Urban, Ingrid Biswas, Suzanne W. Die...