  This paper describes the design and development of CUCHILD, a large-scale
Cantonese corpus of child speech. The corpus contains spoken words collected
from 1,986 child speakers aged from 3 to 6 years old. The speech materials
include 130 words of 1 to 4 syllables in length. The speakers cover both
typically developing (TD) children and children with speech disorder. The
intended use of the corpus is to support scientific and clinical research, as
well as technology development related to child speech assessment. The design
of the corpus, including selection of words, participants recruitment, data
acquisition process, and data pre-processing are described in detail. The
results of acoustical analysis are presented to illustrate the properties of
child speech. Potential applications of the corpus in automatic speech
recognition, phonological error detection and speaker diarization are also
discussed.
