The encryption process for secure voice communication may degrade the speech quality
when it is applied to the speech signals before encoding them through a conventional …

Most compensation methods to improve the robustness of speech recognition systems in
noisy environments such as spectral subtraction, CMN, and MVN, rely on the fact that noise …

In this paper we present an analytic derivation of the moments of the phase factor between
clean speech and noise cepstral or log-mel-spectral feature vectors. The development …

Infant crying is a main trouble for baby caring in homes. Without an effective monitoring
technology, a babysitter may need to stay with the baby all day long. One of the solutions is …

This paper addresses the problem of singlechannel speech separation to extract and
enhance the desired speech signal from mixed speech signals. We propose a new speech …

In this work, we show how expectation maximization based simultaneous channel and noise
estimation can be derived without a vector Taylor series expansion. The central idea is to …

In this contribution classification rules for HMM-based speech recognition in the presence of
a mismatch between training and test data are presented. The observed feature vectors are …

In this work, we show how particle filter (PF) based speech feature enhancement can
profitably be combined with soft-decision missing feature reconstruction. The combined …

We propose a novel phase‐based method for single‐channel speech enhancement to
extract and enhance the desired signals in noisy environments by utilizing the phase …

This work proposes a method of speech enhancement that uses a network of HMMs to first
decode noisy speech and to then synthesise a set of features that enables a clean speech …