The key generation algorithm of AES was introduced;the weaknesses of the key generation design of AES were investigated. According to the key demand put forward a kind of new design idea, and this designing strategy w...The key generation algorithm of AES was introduced;the weaknesses of the key generation design of AES were investigated. According to the key demand put forward a kind of new design idea, and this designing strategy was developed, which can be used to improve the key generation algorithm of AES. An analysis shows that such improvement can enhance the safety of the original algorithm without reducing its efficiency.展开更多
Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, formant and Mel frequency central coefficient (MFCC) in speaker recognition. It can increase the id...Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, formant and Mel frequency central coefficient (MFCC) in speaker recognition. It can increase the identification rate effectively for feature parameter sorts the speech corpus. Using Euclid Distance to compare feature parameters is very effective.展开更多
文摘The key generation algorithm of AES was introduced;the weaknesses of the key generation design of AES were investigated. According to the key demand put forward a kind of new design idea, and this designing strategy was developed, which can be used to improve the key generation algorithm of AES. An analysis shows that such improvement can enhance the safety of the original algorithm without reducing its efficiency.
文摘Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, formant and Mel frequency central coefficient (MFCC) in speaker recognition. It can increase the identification rate effectively for feature parameter sorts the speech corpus. Using Euclid Distance to compare feature parameters is very effective.
