Automatic phoneme-level segmentation and transcription of the Filipino speech corpus using split temporal context and hybrid-HMM network architecture

Automatic phoneme-level segmentation and transcription of the Filipino speech corpus using split temporal context and hybrid-HMM network architecture

Automatic Speech Recognition (ASR) systems are very valuable in developing large vocabulary speech corpora which are primarily used in the human-machine communication technology. In this project, the objective is to develop a method for automatic phoneme-level segmentation and transcription of the F...

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Bibliographic Details
Main Author: Mendoza, Joseph Christian B.
Other Authors: Morales, Michael S.
Format: Thesis
Language:English
Published: 2008.
Subjects:
Automatic speech recognition.
Computer network architectures.
Speech processing > Digital techniques.
Filipino speech corpus.
Hybrid-HMM network architecture.