- Anuj Bhardwaj
Research scholar, Dept. of CS & IT, M.J.P. Rohilkhand University, Bareilly (U.P.), India;
anuj2k3@gmail.com
An Artificial Voice Box That Uses Novel Machine Learning Techniques
Patients who are subjected to intensive medical treatments in order to identify voice problems may be subjected to a considerable lot of suffering during the diagnostic process. As a consequence, there has been a lot of interest in automated speech recognition and approaches to disorder detection in recent years, and these techniques have proved they are successful. In order to facilitate the completion of this investigation, voice recordings were obtained from the Saarbrucken Voice Database. In order to de-noise the signals and get rid of any quiet that may have been there, the signals go through preprocessing using a hybrid Wiener filter discrete wavelet transform (HWFDWT). In order to extract features, Cat Swarm Optimization is used, and Mel Frequency Cepstrum Coefficients are taken into consideration (CSOMFCC). Using a Modified Optimized Back Propagation Network for Classification of disordered voices is then applied to the data in order to arrange the characteristics finally (MOBPNDC). The present techniques of Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN) are surpassed by the classification scheme in terms of Accuracy, Precision, Recall, F-Measure, and Time period. The neural speech system is a piece of technology that allows people who are unable to speak to express their ideas and feelings to the outside world in a way that is understandable to others. It is a piece of apparatus that is able to capture the electric pulses that are produced by the brain and then convert those recordings into a synthetic voice. – Give an overarching description of the idea or the solution that you intend to develop. After recording the brain's electrical activity, it will be sent into a synthesizer for further processing. When it has completed decoding the signal, the Synthesizer will transform it into voice. After the voice has been decrypted, it is sent into an artificial voice box for further processing. The electrical activity of the brain is utilized to produce an artificial voice, which is then emitted through the box once it has been processed