Academic Journal

P.C. Ching

Bibliographic Details
Title: P.C. Ching
Authors: Tan Lee A, W. K. Lo, Helen Meng
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Meng_SC2002.pdf.
Publication Year: 2000
Collection: CiteSeerX
Subject Terms: Speech databases development, Chinese dialects, Chinese phonology and phonetics, Annotation of speech data, Applications of speech technology, Speech recognition, Text-to-speech synthesis
Description: This paper describes the development of CU Corpora, a series of large-scale speech corpora for Cantonese. Cantonese is the most commonly spoken Chinese dialect in Southern China and Hong Kong. CU Corpora are the first of their kind and intended to serve as an important infrastructure for the advancement of speech recognition and synthesis technologies for this widely used Chinese dialect. They contain a large amount of speech data that cover various linguistic units of spoken Cantonese, including isolated syllables, polysyllabic words and continuous sentences. While some of the corpora are createdfor specific applications of common interest, the others are designedwith emphasis on the coverage and distributions of different phonetic units, including the contextual ones. The speech data are annotated manually so as to provide sufficient orthographic and phonetic information for the development of different applications. Statistical analysis of the annotateddata shows that CU Corpora contain rich andbalancedphonetic content. The usefulness of the corpora is also demonstrated with a number of speech recognition and speech synthesis applications.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9558; http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Meng_SC2002.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9558
http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Meng_SC2002.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.C5F79C7E
Database: BASE
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