Piecewise Polynomial High-Order Hidden Markov Models with Applications in Speech Recognition | 0 | 0.34 | 2016 |
Duration High-Order Hidden Markov Models and Training Algorithms for Speech Recognition. | 1 | 0.39 | 2015 |
Performance Analysis Of Distributed Speech Recognition Using Analysis-By-Synthesis Frame Reduced Front End Under Packet Loss Conditions | 0 | 0.34 | 2015 |
Piecewise linear high-order hidden Markov models and applications to speech recognition | 1 | 0.39 | 2015 |
Analysis-by-synthesis frame dropping algorithm together with a novel speech recognizer using time-varying hidden Markov model | 1 | 0.36 | 2014 |
Recognition of packet loss speech using the most reliable reduced-frame-rate data | 0 | 0.34 | 2014 |
Adaptation of hidden Markov models for recognizing speech of reduced frame rate. | 9 | 0.59 | 2013 |
High-Order Hidden Markov Model and Application to Continuous Mandarin Digit Recognition. | 3 | 0.47 | 2011 |
A study on high-order hidden markov models and applications to speech recognition | 10 | 0.90 | 2006 |
A novel projection-based likelihood measure for noisy speech recognition | 1 | 0.42 | 1998 |
Feature Adaptation Using Deviation Vector for Robust Speech Recognition in Noisy Environment | 3 | 0.66 | 1997 |
Adaptation of time differentiated cepstrum for noisy speech recognition | 0 | 0.34 | 1997 |
An extended Levinson-Durbin algorithm for the analysis of noisy autoregressive process | 2 | 0.57 | 1996 |
Noisy speech recognition using variance adapted likelihood measure. | 2 | 0.46 | 1996 |
Estimation of channel bias for telephone speech recognition | 6 | 0.51 | 1996 |
Channel estimation for reference model adaptation in telephone speech recognition | 5 | 0.61 | 1995 |
A study on adaptations of cepstral and delta cepstral coefficients for noisy speech recognition | 2 | 0.41 | 1994 |