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Rung-Chiung Yang

dblp:58/11362 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Speech recognition and synthesis · 92% Transfer learning and domain adaptation · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
automatic speech recognition		 0.011997
Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data · IEEE Trans. Speech Audio Process. 1997
Natural language and speech › Speech recognition and synthesis › automatic speech recognition › continuous speech recognition
large vocabulary continuous speech recognition		 0.011997
Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data · IEEE Trans. Speech Audio Process. 1997
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
mandarin speech recognition		 0.011997
Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data · IEEE Trans. Speech Audio Process. 1997
Natural language and speech › Speech recognition and synthesis
acoustic modeling		 0.011997
Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data · IEEE Trans. Speech Audio Process. 1997
Machine learning › Transfer learning and domain adaptation › low-resource learning
limited training data		 0.011997
Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data · IEEE Trans. Speech Audio Process. 1997

Methods — techniques the papers use, named apart from their topics

language modeling · 0.0acoustic modeling · 0.0
YearPublicationVenuePosition
1997 Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data
abstract
This correspondence presents the first known results of complete recognition of continuous Mandarin speech for the Chinese language with very large vocabulary but very limited training data. Various acoustic and linguistic processing techniques were developed, and a prototype system of a continuous speech Mandarin dictation machine has been successfully implemented. The best recognition accuracy achieved is 92.2% for finally decoded Chinese characters.
Hsin-Min Wang, Tai-Hsuan Ho, Rung-Chiung Yang, Jia-Lin Shen, Bo-Ren Bai, Jenn-Chau Hong, Wei-Peng Chen, Tong-Lo Yu, Lin-Shan Lee
 IEEE Trans. Speech Audio Process.3
1993 Golden Mandarin (II)-an improved single-chip real-time Mandarin dictation machine for Chinese language with very large vocabulary
Lin-Shan Lee, Chiu-yu Tseng, Keh-Jiann Chen, I-Jung Hung, Ming-Yu Lee, Lee-Feng Chien, Yumin Lee, Ren-Yuan Lyu, Hsin-Min Wang, Yung-Chuan Wu, Tung-Sheng Lin, Hung-Yan Gu, Chi-ping Nee, Chun-Yi Liao, Yeng-Ju Yang, Yuan-Cheng Chang, Rung-Chiung Yang
 ICASSP (2)17