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» Continuous speech recognition with a TF-IDF acoustic model
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ICPR
2008
IEEE
14 years 1 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
CORR
2010
Springer
197views Education» more  CORR 2010»
13 years 7 months ago
Modelling of Human Glottis in VLSI for Low Power Architectures
The Glottal Source is an important component of voice as it can be considered as the excitation signal to the voice apparatus. Nowadays, new techniques of speech processing such a...
Nikhil Raj, R. K. Sharma
NAACL
1994
13 years 8 months ago
Multilingual Speech Databases at LDC
As multilingual products and technology grow in importance, the Linguistic Data Consortium (LDC) intends to provide the resources needed for research and development activities, e...
John J. Godfrey
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...
EMNLP
2008
13 years 8 months ago
Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...