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Quantization of Speech Features: Source Coding
[chapter]
2008
Advances in Pattern Recognition
In this chapter, we describe various schemes for quantizing speech features to be used in distributed speech recognition (DSR) systems. We have analyzed the statistical properties of MFCCs that are most relevant to quantization, namely the correlation and probability density function shape, in order to determine the type of quantization scheme that would be most suitable for quantizing them efficiently. We also determine empirically the relationship between mean squared error and recognition
doi:10.1007/978-1-84800-143-5_7
fatcat:xvf3qefxhfcv5mahty7zt7k64a