Add to ORKG– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Baker (CMU) and Jelinek (IBM) in the 1970s (discrete HMMs) – Then extended to continuous HMMs by Bell Labs Assumptions – Speech signal can be characterized as a parametric random (stochastic) process – Parameters can be estimated in a precise, well-defined manner Three fundamental problems – Evaluation of probability (likelihood) of a sequence of observations given a specific HMM – Determination of a best sequence of model states – Adjustment of model parameters so as to best account for observed signals (or discrimination purposes) SP- Berlin Chen 3 Stochastic Process • A stochastic process is a mathematical model of a probabilistic experiment...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
A hidden Markov model (HMM) is a temporal probabilistic model in which the state of the process is d...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
AbstractThis paper introduces an autoregressive hidden Markov model (HMM) and demonstrates its appli...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
– Published in papers of Baum in late 1960s and early 1970s – Introduced to speech processing by Bak...
A hidden Markov model (HMM) is a temporal probabilistic model in which the state of the process is d...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
AbstractThis paper introduces an autoregressive hidden Markov model (HMM) and demonstrates its appli...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challengin...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
