Low Bit Rate Speech Coding Using TMS320C6416

Mahamad Haniffah, Mohamad Habib (2005) Low Bit Rate Speech Coding Using TMS320C6416. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted)

[img]
Preview
PDF
Download (373kB) | Preview

Abstract

The title of the project is Low Bit Rate Speech Coding Using TMS320C6416 DSP Processor. The scope of this project is divided into two main parts. Part one involves the study of the TMS320C6416 DSP processor. My task was to understand the architecture of this board and complete the tutorials in Code Composer Studio (CCS). The second part is concerned with the sampling of speech signal (analog signal) at different sampling frequencies and to study its effects on the quality of the reconstructed speech signal. Initially MATLAB and SIMULINK were used to sample the speech file and to study the effect of variation in sampling frequency on the quality of the speech signal and its waveform. Later, the sampling process is implemented in real time using the TMS320C6416 DSP Processor. Three sampling frequencies were chosen which are 8000 Hz, 4000 Hz and 2000 Hz. The results were divided into two sections; before real-time implementation and after real-time implementation. The comparison of the quality of the sampled audio signal was carried out for the three sampling frequencies as mentioned earlier. Two methods were used to measure the quality of the reconstructed audio signal. First, fifteen students were chosen to rate their score for the quality of the reconstructed signal. The score range was from 1(bad) to 5(excellent). Secondly, scope was used to display the waveform of the original and reconstructed signal. The results showed that the quality of the sound degrades from 8000 Hz to 2000 Hz.

Item Type: Monograph (Project Report)
Subjects: T Technology
T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Monograph
Depositing User: Mr Engku Shahidil Engku Ab Rahman
Date Deposited: 03 Apr 2023 06:28
Last Modified: 03 Apr 2023 06:28
URI: http://eprints.usm.my/id/eprint/57737

Actions (login required)

View Item View Item
Share