Algorithm of Segment-Syllabic Synthesis in Speech Recognition Problem

TL;DR

This paper explores a syllable-based speech recognition method focusing on segment-syllabic parameter trajectory synthesis, analyzing search algorithms and presenting experimental results to evaluate its effectiveness.

Contribution

It introduces a novel approach to speech recognition using segment-syllabic parameters and investigates search methods within this framework.

Findings

Experimental results demonstrate the viability of the segment-syllabic synthesis approach.

Comparison of parameter trajectories improves recognition accuracy.

The method offers a new perspective on syllable-based speech recognition.

Abstract

Speech recognition based on the syllable segment is discussed in this paper. The principal search methods in space of states for the speech recognition problem by segment-syllabic parameters trajectory synthesis are investigated. Recognition as comparison the parameters trajectories in chosen speech units on the sections of the segmented speech is realized. Some experimental results are given and discussed.