Abstract
Abstract: More than a century, speech and audio processingplay a crucial role in the entertainment and telecommunicationsystems. Due to the high demands, expecting moresophisticated features, still audio and speech processing requireadvanced techniques to serve better. This article focuses mainlyon the gender classification from speech signals based on pitchperiod and pitch frequency analysis. To achieve the requiredtasks, the online graphical simulation, such as Java-DSP, isused here. J-DSP environment blocks can be dragged andplaced in the editor easily, which helps to reduce the timerequired to complete the design issues. Also, the pitch periodestimation is done using autocorrelation and cepstrummethods. The zero-crossing detection is used to focus on theidentification of the voiced/unvoiced portion of the speech. Thesurvey results from the participants who attended the trainingprogram on speech and audio processing course were obtainedas feedback. Index Terms:Autocorrelation, gender classification, J-DSP,on-line DSP simulator, pitch estimation .
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