Hybrid Source-Channel Coding with Bandwidth Expansion for Speech Data
Résumé
Hybrid digital-analog (HDA) architectures have
been widely developed for efficient digital transmission of analog
speech, audio or video data. By considering the advantage of
both digital and analog components, HDA systems gain better
performances than purely analog and digital schemes in a wide
range of channel conditions. However, HDA systems described
in previous works are mostly designed for continuous-valued
sources. In this paper, we address the problem of transmission
of discrete sources over noisy channels. In particular, our work
focuses on digital speech data in PCM format. We proposed
two analog schemes, linear mapping, and non-linear mappings.
The linear analog mapping employs an equal error protection
scheme while the non-linear mapping takes into account the
heterogeneous nature of error values to provide better protection
to important values. The experiment results show that our HDA
systems provide a better performance on a wide range of channel
qualities in comparison with traditional purely digital systems.
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