Design and development of phonetically rich Urdu speech corpus

摘要：

Phonetically rich speech corpora play a pivotal role in speech research. The significance of such resources becomes crucial in the development of Automatic Speech Recognition systems and Text to Speech systems. This paper presents details of designing and developing an optimal context based phonetically rich speech corpus for Urdu that will serve as a baseline model for training a Large Vocabulary Continuous Speech Recognition system for Urdu language.

作者: Agha Ali Raza Sarmad Hussain Huda Sarfraz Inam Ullah Zahid Sarfraz

作者单位: FAST -National University of Computer and Emerging Sciences,Pakistan

会议类型: 国际会议

会议名称: 2009 Oriental COCOSDA International Conference on Speech Database and Assessments(2009 国际语音交互标准数据评估技术大会)

会议地点: 北京

会议语种:英文

页码: 38-43

在线出版日期: 2009-08-10（万方平台首次上网日期，不代表论文的发表时间）