Efficient Source Coding for Narrowband Wireless Voice Communication: Development and Simulation Analysis
Divyank Mittal, Gopal Kumar Agarwal, Nawaj Shikalgar, Sushil Kumar Bahuguna, Siddhartha Mukhopadhyay · 2024
This paper explores different encoding methods for speech signals and provides a methodology for a narrowband speech waveform with a targeted bandwidth of less than 25 kHz. This waveform could be used in any standard reconfigurable radio system. The paper also explores the effectiveness of different source encoding techniques for speech and audio signals, and also considering effects of different source coding techniques on signal quality and bandwidth utilization. The proposed methodology for the narrowband speech waveform emphasizes on optimizing resources while maintaining a targeted bandwidth requirement under $25 \mathbf{k H z}$. Different encoding schemes for speech have been studied and different parameters such as SNR, compression ratio and encoding decoding time has been calculated using mathematical simulation software. Few of the promising schemes have been simulated with entire narrowband waveform and their performance within the specified targeted bandwidth has been assessed at different bit error rate introduced by channel.