Open Access

Anthropomorphic Coding of Speech and Audio: A Model Inversion Approach

  • Christian Feldbauer1Email author,
  • Gernot Kubin1 and
  • W. Bastiaan Kleijn2
EURASIP Journal on Advances in Signal Processing20052005:571618

Received: 14 November 2003

Published: 21 June 2005


Auditory modeling is a well-established methodology that provides insight into human perception and that facilitates the extraction of signal features that are most relevant to the listener. The aim of this paper is to provide a tutorial on perceptual speech and audio coding using an invertible auditory model. In this approach, the audio signal is converted into an auditory representation using an invertible auditory model. The auditory representation is quantized and coded. Upon decoding, it is then transformed back into the acoustic domain. This transformation converts a complex distortion criterion into a simple one, thus facilitating quantization with low complexity. We briefly review past work on auditory models and describe in more detail the components of our invertible model and its inversion procedure, that is, the method to reconstruct the signal from the output of the auditory model. We summarize attempts to use the auditory representation for low-bit-rate coding. Our approach also allows the exploitation of the inherent redundancy of the human auditory system for the purpose of multiple description (joint source-channel) coding.

Keywords and phrases

speech and audio codingauditory representationauditory model inversionauditory synthesisperceptual domain codingmultiple description coding

Authors’ Affiliations

Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria
Department for Signals, Sensors and Systems, KTH (Royal Institute of Technology), Stockholm, Sweden


© Christian Feldbauer et al. 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.