This paper presents methods to automatically classify ground penetrating radar (GPR)
images of crevasses on ice sheets. We use a combination of support vector machines …

This paper addresses the problem of feature compensation in the log-spectral domain by
using the missing-data (MD) approach to noise robust speech recognition, that is, the log …

Packet loss concealment (PLC) techniques are utilized to improve the quality of Voice over
IP (VoIP) communications by reconstructing missing speech packets. Hidden Markov Model …

In this paper, we present efficient HMM-based techniques for estimating missing features. By
assuming speech features to be observations of hidden Markov processes, we derive a …

Data imputation approaches for robust automatic speech recognition reconstruct noise
corrupted spectral information by exploiting prior knowledge of the relationship between …

This paper presents a method for reconstructing unreliable spectral components of speech
signals using the statistical distributions of the clean components. Our goal is to model the …

Knowledge-based speech recognition systems extract acoustic cues from the signal to
identify speech characteristics. For channel-deteriorated telephone speech, acoustic cues …

This paper proposes a classification module for fricative consonants in telephone speech
using an acoustic-phonetic feature extrapolation technique. In channel-deteriorated …

Methods for missing-feature reconstruction substitute noisecorrupted features with clean-
speech estimates calculated based on reliable information found in the noisy speech signal …

Matlab straight forward programming interface make it an ideal tool for Hindi Key word
Recognition. For the extraction of the feature, Hindi Key word database has been designed …