Skip to content
naulon
Not checkedNot checked for notices yet.

Standardization of Speech Corpus

Ai-jun Li, Zhi-gang Yin

Data Science Journal · 2007

doi:10.2481/dsj.6.s806 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Speech corpus is the basis for analyzing the characteristics of speech signals and developing speech synthesis and recognition systems. In China, almost all speech research and development affiliations are developing their own speech corpora. We have so many different kinds numbers of Chinese speech corpora that it is important to be able to conveniently share these speech corpora to avoid wasting time and money and to make research work more efficient. The primary goal of this research is to find a standard scheme which can make the corpus be established more efficiently and be used or shared more easily. A huge speech corpus on 10 regional accented Chinese, RASC863 (a Regional Accent Speech Corpus funded by National 863 Project) will be exemplified to illuminate the standardization of speech corpus production.

Abstract licence: CC BY

References1

    1 more reference, whose wording the paper’s licence keeps private.

    Reads

    Read by people on this page

    None yet.

    Checked or read by AI through naulon

    None yet.

    A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

    Are you an author?

    Is this your paper?

    Claim it to add your note and be paid when agents cite it. Free.