Exploring Gender Classification from Speech Signal using Java-DSP Tool
G. Sasi · CVR Journal of Science & Technology · 2020
More than a century, speech and audio processing play a crucial role in the entertainment and telecommunication systems.Due to the high demands, expecting more sophisticated features, still audio and speech processing require advanced techniques to serve better.This article focuses mainly on the gender classification from speech signals based on pitch period and pitch frequency analysis.To achieve the required tasks, the online graphical simulation, such as Java-DSP, is used here.J-DSP environment blocks can be dragged and placed in the editor easily, which helps to reduce the time required to complete the design issues.Also, the pitch period estimation is done using autocorrelation and cepstrum methods.The zero-crossing detection is used to focus on the identification of the voiced/unvoiced portion of the speech.The survey results from the participants who attended the training program on speech and audio processing course were obtained as feedback.