A Study on High Quality Personalized Analysis Method using Improved Speech Bandwidth and Weighted Formants

Abstract

This paper is to classify the user's voice bandwidth more precisely so that it can be applied to various application cases. Recently, it is very useful to provide high quality voice service with recognition rate when using artificial intelligence or big data. Especially, considering the characteristics of high sound quality, the bandwidth of sound is adopted at the existing high frequency of 16 kHz, so that the use of data increases, but it is a great advantage to ensure that the high-quality bandwidth can be obtained. In general, the translation width feature applies only necessary data, so it cannot be used in high-quality service. Therefore, this study is to provide personal bandwidth for bandwidth to provide various services using high quality bandwidth. © International Research Publication House