Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window

2020 ◽  
Vol 152 ◽  
pp. 113390 ◽  
Author(s):  
Jie Xie ◽  
Kai Hu ◽  
Mingying Zhu ◽  
Ya Guo
Keyword(s):  
Sliding Window ◽  
Signal Classification ◽  
Syllable Segmentation

Phonological and Spatial Processing Abilities in Language- and Reading-Impaired Children

1988 ◽  
Vol 53 (3) ◽  
pp. 316-327 ◽  
Author(s):  
Alan G. Kamhi ◽  
Hugh W. Catts ◽  
Daria Mauer ◽  
Kenn Apel ◽  
Betholyn F. Gentry
Keyword(s):  
Phonological Processing ◽  
Spatial Information ◽  
Normal Children ◽  
Language Impaired ◽  
Word Repetition ◽  
Paper Folding ◽  
Syllable Segmentation ◽  
Processing Abilities ◽  
Impaired Children ◽  
Better Than

In the present study, we further examined (see Kamhi & Catts, 1986) the phonological processing abilities of language-impaired (LI) and reading-impaired (RI) children. We also evaluated these children's ability to process spatial information. Subjects were 10 LI, 10 RI, and 10 normal children between the ages of 6:8 and 8:10 years. Each subject was administered eight tasks: four word repetition tasks (monosyllabic, monosyllabic presented in noise, three-item, and multisyllabic), rapid naming, syllable segmentation, paper folding, and form completion. The normal children performed significantly better than both the LI and RI children on all but two tasks: syllable segmentation and repeating words presented in noise. The LI and RI children performed comparably on every task with the exception of the multisyllabic word repetition task. These findings were consistent with those from our previous study (Kamhi & Catts, 1986). The similarities and differences between LI and RI children are discussed.

Application of geometric moving average martingale algorithm in anomaly analysis before earthquake based on sliding window

2013 ◽  
Vol 33 (12) ◽  
pp. 3608-3610 ◽  
Author(s):  
Liping CHEN ◽  
Xiangzen KONG ◽  
Zhi ZHENG ◽  
Xinqi LIN ◽  
Xiaoshan ZHAN
Keyword(s):  
Moving Average ◽  
Sliding Window ◽  
Anomaly Analysis

Improved sliding window non-parameter cumulation sum algorithm

2013 ◽  
Vol 33 (1) ◽  
pp. 88-91 ◽  
Author(s):  
Bo CHEN ◽  
Jianlin MAO ◽  
Guanhua QIAO ◽  
Ning DAI
Keyword(s):  
Sliding Window

Non-Stationary Signal Classification Using Joint Frequency Analysis

2003 ◽  
Author(s):  
Somsak Sukittanon ◽  
Les E. Atlas ◽  
James W. Pitton ◽  
Jack McLaughlin
Keyword(s):  
Frequency Analysis ◽  
Signal Classification ◽  
Joint Frequency ◽  
Non Stationary Signal
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