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» Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
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IPCV
2008
13 years 9 months ago
Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
Yousef Alotaibi, Mansour Al-Ghamdi, Fahad Alotaiby
NIPS
2001
13 years 9 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
HAPTICS
2002
IEEE
14 years 17 days ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
ICASSP
2009
IEEE
14 years 2 months ago
Cross-lingual speech recognition under runtime resource constraints
This paper proposes and compares four cross-lingual and bilingual automatic speech recognition techniques under the constraints of limited memory size and CPU speed. The first thr...
Dong Yu, Li Deng, Peng Liu, Jian Wu, Yifan Gong, A...