An overview of RNN‐based mandarin speech recognition approaches†
作者:
Yuan‐Fu Liao,
Wei‐Tyng Hong,
Wern‐Jun Wang,
Yih‐Ru Wang,
Sin‐Horng Chen,
期刊:
Journal of the Chinese Institute of Engineers
(Taylor Available online 1999)
卷期:
Volume 22,
issue 5
页码: 535-547
ISSN:0253-3839
年代: 1999
DOI:10.1080/02533839.1999.9670492
出版商: Taylor & Francis Group
关键词: RNN;Mandarin speech recognition;HMM.
数据来源: Taylor
摘要:
The ANN‐based approach is an alternate to the HMM method which is the currently dominant technology in the field of speech recognition. This paper is an overview of the RNN‐based approaches to Mandarin speech recognition. Some RNN‐based approaches proposed previously: syllable‐boundary pre‐segmentation, broad‐class pre‐classification, prosodic phrase boundary detection, and isolated and continuous syllable recognitions are discussed. We find from the survey that these approaches are all effective. So the RNN technology is comparable to the conventional HMM method on Mandarin speech recognition.
点击下载:
PDF (1416KB)
返 回