In this letter,a novel algorithm is proposed for identification of one popular type of VoIP(Voice over IP) application,MSN VoIP,based on both behavior pattern and protocol characteristics.In addition,the experiment fo...In this letter,a novel algorithm is proposed for identification of one popular type of VoIP(Voice over IP) application,MSN VoIP,based on both behavior pattern and protocol characteristics.In addition,the experiment for validation is implemented.Since there exists no method identifying MSN VoIP session and furthermore the IP addresses,domain names,ports and even the protocols MSNP works over,are all alterable during the application,which makes it difficult to identify MSN VoIP session,this work will be helpful to advance the research on VoIP identification.展开更多
Background:Variation in the speech of speakers is a crucial issue for the forensic system.The main reason behind incorrect speaker identification is greater intra-speaker fluctuation.In the forensic state of play,a lo...Background:Variation in the speech of speakers is a crucial issue for the forensic system.The main reason behind incorrect speaker identification is greater intra-speaker fluctuation.In the forensic state of play,a lot of research has been carried out on speaker identification.However inter variations and intra fluctuations in speakers for the Punjabi language is still a grey area.Aims and Objectives:Our aim is to study acoustic analysis of fluctuations for inter and intra speaker variability in speech sounds.In our study,we will consider Punjabi vowel with consonants.The Statistical methods will be applied to analyze the data;firstly,the Shapiro-Wilk test will be checked for normality and then Levene’s Test to assess the equality of variances.Materials and Method:Five vowels were selected with different consonants.They were combined to make meaningful words.Then these meaningful words were embedded in sentences.Ten speakers participated voluntarily.All are students of A.S College at Khanna in Punjab.The individuals were aged between 20-22 years with no hearing or speech disorder.The voice samples were recorded with help of good quality microphone and by Goldwave software in the sound proof lab.Samples were introduced directly into PRAAT software by the use of a Sony microphone and with sampling rate of 44100 Hz frequency.Acoustic Analysis has been done with help of Goldwave software in form of spectrograms.Results and Conclusion:Each formant shows a different value for inter variations and inter speaker fluctuations.F1 and F2 shows lesser speaker variation than the high-frequency region in F3 and F4,so we can say that in comparison with the lower part,high-frequency regions are more valuable.The assumptions for TWO-WAY ANOVA is violated and hence,we have used the non-parametric Friedman Test and performed its Post hoc analysis.From Posthoc analysis,we can say that F1 and F2(p>0.05)and F2 and F3(p>0.05)gave the same type of results.Hence,from the results of these statistical tests,we can conclude that F1 is recommended over F2,F3,and F4.As the frequency of F1 is high as well as in line with the results of statistical tests.Because we prefer more variation among frequencies so that we can easily distinguish different speakers and it would be more beneficial for inter variations and intra fluctuations.展开更多
As the widespread employment of firewalls on the Internet, user datagram protocol(UDP) based voice over Internet protocol(Vo IP) system will be unable to transmit voice data. This paper proposed a novel method to ...As the widespread employment of firewalls on the Internet, user datagram protocol(UDP) based voice over Internet protocol(Vo IP) system will be unable to transmit voice data. This paper proposed a novel method to transmit voice data based on transmission control protocol(TCP). The method adopts a disorder TCP transmission strategy, which allows discontinuous data packets in TCP queues read by application layer directly without waiting for the retransmission of lost data packets. A byte stream data boundary identification algorithm based on consistent overhead byte stuffing algorithm is designed to efficiently identify complete voice data packets from disordered TCP packets arrived so as to transmit the data to the audio processing module timely. Then, by implementing the prototype system and testing, we verified that the proposed algorithm can solve the high time delay, jitter and discontinuity problems in standard TCP protocol when transmitting voice data packets, which caused by its error control and retransmission mechanism. We proved that the method proposed in this paper is effective and practical.展开更多
基金the Hi-Tech R&D Program (863) of China (2006AA01Z444)the National Natural Science Foundation of China (No.60773140)
文摘In this letter,a novel algorithm is proposed for identification of one popular type of VoIP(Voice over IP) application,MSN VoIP,based on both behavior pattern and protocol characteristics.In addition,the experiment for validation is implemented.Since there exists no method identifying MSN VoIP session and furthermore the IP addresses,domain names,ports and even the protocols MSNP works over,are all alterable during the application,which makes it difficult to identify MSN VoIP session,this work will be helpful to advance the research on VoIP identification.
文摘Background:Variation in the speech of speakers is a crucial issue for the forensic system.The main reason behind incorrect speaker identification is greater intra-speaker fluctuation.In the forensic state of play,a lot of research has been carried out on speaker identification.However inter variations and intra fluctuations in speakers for the Punjabi language is still a grey area.Aims and Objectives:Our aim is to study acoustic analysis of fluctuations for inter and intra speaker variability in speech sounds.In our study,we will consider Punjabi vowel with consonants.The Statistical methods will be applied to analyze the data;firstly,the Shapiro-Wilk test will be checked for normality and then Levene’s Test to assess the equality of variances.Materials and Method:Five vowels were selected with different consonants.They were combined to make meaningful words.Then these meaningful words were embedded in sentences.Ten speakers participated voluntarily.All are students of A.S College at Khanna in Punjab.The individuals were aged between 20-22 years with no hearing or speech disorder.The voice samples were recorded with help of good quality microphone and by Goldwave software in the sound proof lab.Samples were introduced directly into PRAAT software by the use of a Sony microphone and with sampling rate of 44100 Hz frequency.Acoustic Analysis has been done with help of Goldwave software in form of spectrograms.Results and Conclusion:Each formant shows a different value for inter variations and inter speaker fluctuations.F1 and F2 shows lesser speaker variation than the high-frequency region in F3 and F4,so we can say that in comparison with the lower part,high-frequency regions are more valuable.The assumptions for TWO-WAY ANOVA is violated and hence,we have used the non-parametric Friedman Test and performed its Post hoc analysis.From Posthoc analysis,we can say that F1 and F2(p>0.05)and F2 and F3(p>0.05)gave the same type of results.Hence,from the results of these statistical tests,we can conclude that F1 is recommended over F2,F3,and F4.As the frequency of F1 is high as well as in line with the results of statistical tests.Because we prefer more variation among frequencies so that we can easily distinguish different speakers and it would be more beneficial for inter variations and intra fluctuations.
基金supported by the National Natural Science Foundation of China: Research on Differentially Private Frequent Pattern Miningthe National Natural Science Foundation of China: Research on Optical Transport Network Integrated Protection Strategy and Method for High-Speed Railway
文摘As the widespread employment of firewalls on the Internet, user datagram protocol(UDP) based voice over Internet protocol(Vo IP) system will be unable to transmit voice data. This paper proposed a novel method to transmit voice data based on transmission control protocol(TCP). The method adopts a disorder TCP transmission strategy, which allows discontinuous data packets in TCP queues read by application layer directly without waiting for the retransmission of lost data packets. A byte stream data boundary identification algorithm based on consistent overhead byte stuffing algorithm is designed to efficiently identify complete voice data packets from disordered TCP packets arrived so as to transmit the data to the audio processing module timely. Then, by implementing the prototype system and testing, we verified that the proposed algorithm can solve the high time delay, jitter and discontinuity problems in standard TCP protocol when transmitting voice data packets, which caused by its error control and retransmission mechanism. We proved that the method proposed in this paper is effective and practical.