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Articles by Gao Lei
Total Records ( 2 ) for Gao Lei
  Gao Lei , Zhang Deyun , Wang Lei and Shi Hongfeng
  To the case k = 3 of the Berman`s approximation algorithm, the improved algorithm is proposed in this study. It constructs a Voronoi region to get the cost of triple subtree on the basis of using Fibonacci heap to count the shortest distance of each pair of points in the corresponding set. Then, to decrease useless triples by the topology analysis of Steinertree, it simplifies the topology and reduces the time complexity. In the experiment results, the filter factor β is above 0.9 for each example, some even up to 0.999. It shows that many useless triples have been filtered before the beginning of the evaluation phase and the construction phase.
  Zhang Jun , Gao Lei and Zhang Deyun
  In order to solve the problem of real-time speech quality assessment, a high-performance algorithm, Efficient Psychoacoustics Evaluation of Speech Quality (EPESQ), based on psychoacoustics model, is proposed. The process of EPESQ is: The original and corresponding degraded speech samples are first preprocessed by overall gain compensation and IRS (Intermediate Reference System) filtering. Then both signals are transformed to their loudness presentation by a series of consecutive steps: windowed fast Fourier transform, frequency warping to Mel-scale and loudness mapping. The loudness presentations are compared in different time-frequency cell to get the differences called Disturbance. Disturbances are aggregated over time and frequency and then the result is processed by a cognitive formula to generate the final evaluation score. Experimental results show that EPESQ performs a 37.5% reduction in running time and 51.9% in memory occupation to the P.862 algorithm with only a 7.8% decrease in average correlation to listener opinions. EPESQ is a high-performance algorithm and suitable for real-time applications. It has been implemented in our Internet voice communication system as a self-evaluating component.
 
 
 
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