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This paper proposes a method to deal with the problem of sports classification through audio analysis. First, a two-pass audio segmentation module is developed as the front-end to extract announcer's speech from the audio streams. Then speech recognition technology is employed on the speech segments to extract keywords which are used as features to distinguish different sports. Finally, based on the...
A new analytical model with a high accuracy and low computational cost for Switched Reluctance Motor (SRM) is presented in this paper, based on which an improved cross-coupled method of Synchronization control for dual-SRM is developed. In order to minimize the large computational cost in the existed torque computation methods, this paper establishes a fast torque computation model. It is applied...
This paper presents our Mandarin pronunciation quality assessment system for the examination of Putonghua Shuiping Kaoshi (PSK) and investigates some measures to improve the assessment accuracy. In this paper, a selective speaker adaptation method is studied. In the adaptation module, we select well pronounced speech as the adaptation data, and adopt Maximum Likelihood Linear Regression (MLLR) to...
This paper proposes a novel system to automatically determine the sports type of a sports game by conducting keywords spotting on short fragments (around 10 minutes) of a sports game. In this system, we first develop an audio segmentation module as a front-end to separate announcers' speech efficiently from the complex sports audio stream. Then we employ speech recognition technology on these speech...
During the process of pluralistic fertilization model construction, the unreasonable ratio of nitrogen, phosphorus and kalium easily results in the deviation of fertilizing model. This paper has proposed an adaptive algorithm of fertilization model fitting based mixed intelligent computing of GP/GA, and solved the issue of structure and parameters optimization of adaptive fertilization model. This...
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