A Layered Data Model for Information Management In Sound Coding Architectures
This paper presents some ideas for the appropriate management of every information source present in a generic speech or audio coder. This task becomes more necessary as coding structures get more complex, and an appropriate organization and processing of this information is a key point for an efficient implementation, in terms of complexity and quality. First, a data structure will be proposed, inspired by classic comprehension theories, which sorts the information into three different hierarchical levels. Based on this structure, a global sound encoder block diagram will be described. This model is based on blackboard models, commonly applied in speech recognition applications. Finally, it will be shown how an MPEG-2/4 AAC-LC coder can be considered as a particular case of the proposed model.
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