Markov Models for Phonetic Text

Hidden Markov Models Suitable for Text Generation

The paper presents the application of Hidden Markov Models to text generation in Polish language. A program generating text, taking advantage of Hidden Markov Models was developed. The program uses a reference text to learn the possible sequences of letters. The results of text processing have been also discussed. The presented approach can be also helpful in speech recognition process. Key-Wor...

Hidden Markov Models in Text Recognition

1 Abstract A multi-level multifont character recognition is presented. The system proceeds by rst delimiting the context of the characters. As a way or enhancing system performance, typographical information is extracted and used for font identiication before actual character recognition is performed. This has the advantage of sure character identiication as well as text reproduction in origina...

Hidden Markov Models in Text Re

Combining Text Classifiers and Hidden Markov Models for Information Extraction

In this paper, we propose a hybrid machine learning approach to Information Extraction by combining conventional text classification techniques and Hidden Markov Models (HMM). A text classifier generates a (locally optimal) initial output, which is refined by an HMM, providing a globally optimal classification. The proposed approach was evaluated in two case studies and the experiments revealed...

Context-dependent phonetic hidden Markov models for speaker-independent continuous speech recognition