@inproceedings{c99be4413de6454fa83abc246cf449c0,
title = "A Theoretically Consistent Method for Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features",
abstract = "We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features for noise robust automatic speech recognition (ASR). The method is based on a minimum number of well-established statistical assumptions; no assumptions are made which are inconsistent with others. The strength of the proposed method is that it allows MMSE estimation of mel-frequency cepstral coefficients (MFCC's), cepstral mean-subtracted MFCC's (CMS-MFCC's), velocity, and acceleration coefficients. Furthermore, the method is easily modified to take into account other compressive non-linearities than the logarithmic which is usually used for MFCC computation. The proposed method shows estimation performance which is identical to or better than state-of-the-art methods. It further shows comparable ASR performance, where the advantage of being able to use mel-frequency speech features based on a power non-linearity rather than a logarithmic is demonstrated.",
author = "Jesper Jensen and Zheng-Hua Tan",
year = "2014",
doi = "10.1109/ICNIDC.2014.7000327",
language = "English",
isbn = "978-1-4799-4736-2",
series = "IEEE International Conference Network Infrastructure and Digital Content proceedings ",
publisher = "IEEE",
pages = "368--373",
booktitle = "Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on",
address = "United States",
note = "The 4th IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC2014 ; Conference date: 19-09-2014 Through 21-09-2014",
}