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The proposed method, which is computationally inexpensive compared to SVM, suggests a new classifier for language recognition and is evaluated on the 2009 National Institute of Standards and Technology NISTT) language recognition evaluation (LRE).
Introduction: All data support the need for early recognition, evaluation of pain in the NICU.
The primary evaluation metric is based upon 2005 NIST language recognition evaluation [27].
In language recognition evaluation, MMI and GMM-SVM are primary acoustic systems.
Text independent speaker verification experiments are conducted on the NIST 2010 speaker recognition evaluation (SRE) data set[8].
The experimental setup for this work is based on the NIST 2009 Language Recognition Evaluation (LRE) [31].
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The performed speech recognition evaluations on the noisy standard AURORA-2 tasks show enhanced performance for all noise conditions.
The paper concludes by discussing the outcomes of CHiME-3 in relation to the design of future mobile speech recognition evaluations.
According to the distinctive differences of Mandarin rhythm from the Western languages, we integrate the prosodic parameters into the recognition and evaluation model to highlight Mandarin characteristics and improve the evaluation performance.
These activities include selective attention, perception, discrimination, interpretation, classification, recall and recognition memory, evaluation, inference, and deduction.
As we performed voice command recognition the evaluation measure used is the Command Error Rate (CER).
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