Results 241 to 250 of about 548,043 (300)

Affine non-negative collaborative representation based pattern classification. [PDF]

Complex Intell Systems
Yin HF, Wu XJ, Feng ZH, Kittler J, Li ZQ.   +4 more
europepmc   +1 more source

A Kazakh language Dataset of Lip Movements for Command Recognition. [PDF]

Sci Data
Kenzheakhmetov B, Amankos A, Amirgaliyev B, Zhanibekova Z, Zhalgas A, Yedilkhan D.   +5 more
europepmc   +1 more source

Social Network Characteristics and Their Relations to Speech Recognition and Quality of Life in Adult Cochlear Implant Users. [PDF]

Am J Speech Lang Pathol
Spector BM, Sevich VA, Conroy S, Moberly AC, Tamati TN.   +4 more
europepmc   +1 more source

Speech perception as non-symbolic pattern recognition

, 2007
Worgan, S F, Damper, R I
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Modeling the impact of cochlear nerve degeneration on speech recognition performance. [PDF]

PLoS One
Vasilkov V, Liberman MC, Maison SF.
europepmc   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism. [PDF]

Brain Behav
Mao R, Zhu Y.
europepmc   +1 more source

Evaluation of simplified Arabic matrix test in children with normal hearing. [PDF]

Saudi Med J
Yousef MF, Asiri AA, Bin Dehaish SM, Marzuq AM, Almalki AA, Garrada MN, Khoja MA, Busaad IA, Mahrous MM.   +8 more
europepmc   +1 more source

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Discriminant-function-based minimum recognition error rate pattern-recognition approach to speech recognition

Proceedings of the IEEE, 2000
A discriminant function-based minimum recognition error rate pattern recognition approach is described and studied for various applications in speech processing. This approach departs from the conventional paradigm, which links a classification/recognition task to the problem of distribution estimation.
openaire   +3 more sources

Biomimetic Pattern Recognition for Speaker-Independent Speech Recognition

2005 International Conference on Neural Networks and Brain, 2006
In speaker-independent speech recognition, the disadvantage of the most diffused technology (hidden Markov models) is not only the need of many more training samples, but also long train time requirement. This paper describes the use of biomimetic pattern recognition (BPR) in recognizing some Mandarin speech in a speaker-independent manner.
null Hong Qin, null Shoujue Wang, null Hua Sun   +2 more
openaire   +1 more source