Work

A Commercial Car Navigation System using Korean Large Vocabulary Automatic Speech Recognizer

Year: 2009

Type: conference-paper

Abstract: In this paper, a Korean large vocabulary speech recognizer for an embedded car navigation device is introduced. The proposed speech recognizer identifies 450k point-of-interests within a resource-limited device without serious performance degradation under severe car-noise environments. Before launching the speech recognition application on the Korean retail market, a series of speech recognition tests are conducted in various moving vehicles including sport utility vehicles, recreation vehicles and so on. The on-line 10-best evaluation results of 450k point-of-interest name recognition task show 84.2% accuracy under various driving conditions.

Source: Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)

Authors: Sung Joo Lee, Hoon Chung, Jeon Gue Park, Ho‐Young Jung, Yun‐Keun Lee

Institution: Electronics and Telecommunications Research Institute

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W48997180

FWCI: 0.748

Cites: 10

Cited by: 4

Related to: 10