Longlu Qin

发表

MINIMUM GENERATION ERROR LINEAR REGRESSION BASED MODEL ADAPTATION FOR HMM-BASED SPEECH SYNTHESIS

Lirong Dai, Zhenhua Ling, Longlu Qin, 2008 .

Learning better lexical properties for recurrent OOV words

Alexander I. Rudnicky, Long Qin, Longlu Qin, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Applying SFC Model for Chinese Expressive Speech Synthesis

Zhenhua Ling, Longlu Qin, Ren-Hua Wang, 2006 .

Learning Out-of-Vocabulary Words in Automatic Speech Recognition

Long Qin, Longlu Qin, 2013 .

Erroneous data generation for Grammatical Error Correction

Long Qin, Jin Chen, Jiehao Zhang, 2019, BEA@ACL.

USTC System for Blizzard Challenge 2006 an Improved HMM-based Speech Synthesis Method

Ren-Hua Wang, Zhen-Hua Ling, Yu-Ping Wang, 2006, Blizzard Challenge.

Model Adaptation for HMM-Based Speech Synthesis under Minimum Generation Error Criterion

Ren-Hua Wang, Long Qin, Yi-Jian Wu, 2008, 2008 Tenth IEEE International Symposium on Multimedia.

Minimum generation error criterion considering global/local variance for HMM-based speech synthesis

Li-Rong Dai, Ren-Hua Wang, Zhen-Hua Ling, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Minumum generation error linear regression based model adaptation for HMM-based speech synthesis

Ren-Hua Wang, Zhen-Hua Ling, Long Qin, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

HMM-Based Emotional Speech Synthesis Using Average Emotion Model

Ren-Hua Wang, Zhen-Hua Ling, Long Qin, 2006, ISCSLP.

An improved minimum generation error based model adaptation for HMM-based speech synthesis

Keiichi Tokuda, Long Qin, Yi-Jian Wu, 2009, INTERSPEECH.

INTERSPEECH 2006-ICSLP M-Based Voice Conversion ion Tree and Appropriate rix Format

Ren-Hua Wang, Ling, Long Qin, 2006 .

Improving the performance of HMM-based voice conversion using context clustering decision tree and appropriate regression matrix format

Ren-Hua Wang, Zhen-Hua Ling, Long Qin, 2006, INTERSPEECH.

POS tagging of Chinese Buddhist texts using Recurrent Neural Networks

Longlu Qin, Longlu Qin, 2015 .