Speech Emotion Recognition in Driving Fatigue Warning of Combine Harvester Based on Chinese Language Phonology
It has the advantages of non-invasive,efficient and accurate,strong real-time,strong popularity,and wide application scenarios for the realization of combine fatigue driving detection through speech emotion recognition of Chinese language phonology.In order to improve the accurate recognition rate of fatigue driving,it combined Mel Frequency Cep-strum Coefficients and Chinese language phonology,and used Gaussian mixture model and limit learning machine as clas-sifiers for speech fatigue detection.The experimental results showed that the fatigue identification rate of this method was very high,with an average correct identification rate of 93.17%,which had high practical value and promotion value.
Chinese language phonologyemotional recognitioncombine harvesterfatigue driving
国家科技期刊平台
NSTL
万方数据
