Add to ORKGAbstract. This paper presents the theoretical basis of layered Markov models (LMM), which integrate all the knowledge levels commonly used in automatic speech recognition (acoustic, lexical and language levels) in a single model. Each knowledge level is rep-resented by a set of Markov models (or even hidden Markov mod-els) and all these sets are arranged in a layered structure. Given that common supervised training and recognition paradigms can be also expressed as simple Markov models, they can be formal-ized and integrated into the model as an extra knowledge layer. In addition, it is shown that hidden Markov models (HMM) and newer HMM2 can be considered as particular instances of LMM
Hidden Markov models play a critical role in the mod-elling and problem solving of important AI task...
The hidden Markov model (HMM) is commonly employed in automatic speech recognition (ASR). The HMM ha...
Abstract the co-articulation is one of the main reasons that makes the speech recognition difficult....
Natural language processing enables computer and machines to understand and speak human languages. S...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
This paper gives an overview of the principles of a system for phoneme based, large vocabulary, cont...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
This paper proposes a new hidden Makov model (HMM) which we call speaker-ensemble HMM (SE-HMM). An S...
The general subject of this work is to present mathematical methods encountered in auto-matic speech...
For over a decade, the Hidden Markov Model (HMM) has been the primary tool used for acoustic modelin...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
Hidden Markov models are widely used for automatic speech recog-nition. They inherently incorporate ...
This tutorial gives a gentle introduction to Markov models and Hidden Markov models as mathematical ...
Hidden Markov models play a critical role in the mod-elling and problem solving of important AI task...
The hidden Markov model (HMM) is commonly employed in automatic speech recognition (ASR). The HMM ha...
Abstract the co-articulation is one of the main reasons that makes the speech recognition difficult....
Natural language processing enables computer and machines to understand and speak human languages. S...
Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of ...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interf...
This paper gives an overview of the principles of a system for phoneme based, large vocabulary, cont...
The speech recognition field is one of the most challenging fields that has faced scientists for a l...
This paper proposes a new hidden Makov model (HMM) which we call speaker-ensemble HMM (SE-HMM). An S...
The general subject of this work is to present mathematical methods encountered in auto-matic speech...
For over a decade, the Hidden Markov Model (HMM) has been the primary tool used for acoustic modelin...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
Hidden Markov models are widely used for automatic speech recog-nition. They inherently incorporate ...
This tutorial gives a gentle introduction to Markov models and Hidden Markov models as mathematical ...
Hidden Markov models play a critical role in the mod-elling and problem solving of important AI task...
The hidden Markov model (HMM) is commonly employed in automatic speech recognition (ASR). The HMM ha...
Abstract the co-articulation is one of the main reasons that makes the speech recognition difficult....