Improvement of Word Spotting Performance based on the Generalized Hough Transform

• SUGINO Kouji

  Department of Electronics and Information Science, Kyoto Institute of Technology

• KOBAYASHI Yutaka

  Department of Electronics and Information Science, Kyoto Institute of Technology

• NIIMI Yasuhisa

  Department of Electronics and Information Science, Kyoto Institute of Technology

Bibliographic Information

Other Title

• 一般化 Hough 変換を用いたワードスポッティングの精度向上

Abstract

This paper describes a method to detect particular speech segments as a keyword from speech database. The Generalized Hough Transform (GHT) has been used to find arbitrary complex shapes on the image plane. We extended the GHT to be able to deal with three-dimensional shapes and applied it to the keyword spotting in which a speech signal is represented as a spectral sequence. Based on experimental results on the keyword spotting in which 15 keywords were tried to extract from 450 utterances produced by 30 male speakers, we propose an approach for improving the keyword spotting performance. This approach combines GHT and a word spotting method based on DP matching.

Journal

• IEICE technical report. Speech

  IEICE technical report. Speech 97 (396), 7-12, 1997-11-21

  The Institute of Electronics, Information and Communication Engineers

Keywords

• spotting
• Generalized Hough Transform
• DP matching
• spectral sequence

Details

• CRID: 1571417127315946624
• NII Article ID: 110003296004
• NII Book ID: AN10013221
• Text Lang: ja
• Data Source:
  • CiNii Articles