Speech coding for Bluetooth with CVSD algorithm
Othman Omran Khalifa, Sheroz Khan, M.D.R. Islam, M.B. Muktar, Zaihar Yaacob
Abstract
Open-access reader
Othman Omran Khalifa, Sheroz Khan, M.D.R. Islam, M.B. Muktar, Zaihar Yaacob
Abstract
Open-access reader
Speech coding is a procedure used to represent a digital speech signal by as few bits as possible, maintaining at the same time a reasonable level of speech quality. Due to increasing demand for speech communications, speech coding technology has received a lot of research interest. Speech coding is performed using numerous steps or operations specified as an algorithm. This paper presents the continuously variable slope delta (CVSD) speech coding method which is widely used in Bluetooth applications. It is a nonlinear sampled data feedback system which accepts a band limited analog signal and encodes it into binary form for transmission through a digital channel. At the receiver, the binary signal is decoded into a close approximation of the original analog signal. This coding technique is implemented in Matlab Simulink and the simulation results show that the coding has good noise immunity. Further, shown in this work is the fact that damaged packets are discarded straight away without having a serious impact on the speech quality, making it more suitable for two way audio communications.
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Speech coding is a procedure used to represent a digital speech signal by as few bits as possible, maintaining at the same time a reasonable level of speech quality. Due to increasing demand for speech communications, speech coding technology has received a lot of research interest. Speech coding is performed using numerous steps or operations specified as an algorithm. This paper presents the continuously variable slope delta (CVSD) speech coding method which is widely used in Bluetooth applications. It is a nonlinear sampled data feedback system which accepts a band limited analog signal and encodes it into binary form for transmission through a digital channel. At the receiver, the binary signal is decoded into a close approximation of the original analog signal. This coding technique is implemented in Matlab Simulink and the simulation results show that the coding has good noise immunity. Further, shown in this work is the fact that damaged packets are discarded straight away without having a serious impact on the speech quality, making it more suitable for two way audio communications.
Key concepts: Speech coding, Computer science, Voice activity detection, Linear predictive coding, Bluetooth, Speech recognition, Codec2, Coding (social sciences)