Asia-Pacific Signal and Information Processing Association (APSIPA) - Improving BLSTM RNN based Mandarin speech recognition using accent dependent bottleneck features

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

Author(s): Jiangyan Yi ; Hao Ni ; Zhengqi Wen ; Jianhua Tao
Publisher: Asia-Pacific Signal and Information Processing Association (APSIPA)
Publication Date: 1 December 2016
Conference Location: Jeju, South Korea
Conference Date: 13 December 2016
Page(s): 1 - 5
ISBN (Electronic): 978-9-8814-7682-1
DOI: 10.1109/APSIPA.2016.7820723
Regular:

This paper proposes an approach to perform accent adaptation by using accent dependent bottleneck (BN) features to improve the performance of multi-accent Mandarin speech recognition system. The... View More

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