Development of a large vocabulary speech database for Cantonese

Ching, P.C.; Chow, Ka-Fai; Lee, Tan; Ng, Alfred Ying Pang; Chan, Lai-Wan

doi:10.1109/icassp.1997.598874

Cited by 3 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the final system, there are four more CDHMMs to capture short pause, silence, garbage noise, and non-Cantonese speech sounds. The CDHMMs are trained from a large telephone speech corpus collected by the Chinese University of Hong Kong (Ching, 1997). The corpus consists of more than 10,000 Cantonese words spoken by more than 300 speakers of both genders.…”

Section: Automatic Speech Recognition (Asr) System Interfacementioning

confidence: 99%

Passenger route guidance system for multi-modal transit networks

Lo¹,

Yip²,

Mak³

2005

ATR

View full text Add to dashboard Cite

In many public transport oriented cities in the world, especially Asian cities, the public transport system has been developed extensively, to the extent that it has become increasingly difficult to navigate. Although inter-modal transfers are common and often necessary, a complete set of the routes across transport modes is generally not presented in a form that is accessible to travelers, as each operator would only publish its own routes. Moreover, the common nonlinear fare tables together with inter-modal fare discounts pose challenges to travelers in deciding their best routes. This study develops a multi-modal passenger route guidance system, called eFinder, to aid travelers with their combined mode-route choices. We discuss the architecture and features of this system in this study. This system forms a platform for disseminating public transit information and should complement further development and use of the public transport network by enabling travelers to make informed choices.

show abstract

Section: Automatic Speech Recognition (Asr) System Interfacementioning

confidence: 99%