Research on Intelligent Speech Recognition Method for Multi Person Conversation in Complex Scenes Based on Support Vector Machine
In the face of the problem of insufficient gender combination information represented by a single feature in multi-per-son conversation speech,resulting in inaccurate speech recognition results,a support vector machine based intelligent recognition method for multi-person conversation speech in complex scenes is proposed.Using distance measurement methods to detect changes in multi-person conversations in complex scenes.Calculate the logarithmic likelihood probability values of any two datasets and con-struct a diversity set.Using the T-Test similarity measurement method,determine the significant differences between the two data-sets.Construct a support vector machine discriminant function and use the mapping logic of the support vector machine to achieve the separation of similar voices.The binary classification super linear classifier of support vector machine is used to construct the op-timal discriminant function,and combined with male and female pitch frequency and signal non resonant frequency characteristics,the intelligent recognition of multi person conversation speech is realized.From the experimental results,it can be seen that the range of amplitude fluctuations for pitch frequency recognition in the research method is-0.5～0.5 for males and-0.7～0.7 for females,which is consistent with the experimental data;For the non resonant frequency identification results of the signal,the fre-quency fluctuation ranges for males and females are-600～600 Hz and-360～405 Hz,respectively.There is only a 50 Hz error between the male frequency fluctuation range and the experimental data,while the female frequency fluctuation range is consistent with the experimental data.
support vector machinecomplex scenariosmulti person dialoguespeech intelligent recognition
国家科技期刊平台
NSTL
万方数据
