<p><P><EM>Incorporating Knowledge Sources into Statistical Speech Recognition</EM> offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible
Statistical Methods for Speech Recognition
✍ Scribed by Frederick Jelinek
- Publisher
- A Bradford Book
- Year
- 1998
- Tongue
- English
- Leaves
- 305
- Series
- Language, Speech, and Communication
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.
✦ Subjects
Информатика и вычислительная техника;Обработка медиа-данных;Обработка звука;Обработка речи;
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