Abstract: This paper describes a new stochastic topic focusing mechanism for reducing the perplexity of natural spoken languages.

This paper proposes a new topic-control mechanism based on the statistical technique as a means to ameliorate the complexity of the natural language processing.

This paper describes a new stochastic topic focusing mechanism for reducing the perplexity of natural spoken languages. In this mechanism, a predictive ...

This paper proposes a new topic-control mech- anism based on the statistical technique as a means to ameliorate the complexity of the natural language pro-.

A new stochastic topic focusing mechanism for reducing the perplexity of natural spoken languages using a predictive context-free grammar parser that ...

This paper introduces a novel approach to convert STT by using Hidden Markov Model (HMM). HMM along with other techniques such as Mel-Frequency Cepstral ...

Jan 7, 2021 · With automatic speech recognition, the goal is to simply input any continuous audio speech and output the text equivalent.

Missing: focusing mechanism topic

Publications | NTT Basic Research Laboratories | NTT R&D Website. -focusing mechanism for speech recognition based on probabilistic grammar and topic-Markov ...

Hidden Markov Models (HMMs) are widely used in pattern recognition applications, most notably speech recognition. Speech samples are recorded using a wave ...