信頼度を組み込んだデコーディングによる音声認識の検討  [in Japanese] A Study on Confidence Based Decoder for Improved Speech Recognition  [in Japanese]

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Abstract

本報告では,高精度な音声認識を目指し,単語レベルの信頼度(Confidence Measure)を組み込んだデコーディング法について検討し,その評価を行う.ベースとなるデコーダーは2パスの構成をとっており,中間結果としてワードグラフを出力する.信頼度は,ワードグラフをもとに算出し,ワードグラフのリスコアリングによってその効果を調べた.また,本研究では,信頼度を組み込んだ探索法,及びワードグラフの再構築を行う繰り返しデコーディング法を提案する.提案する繰り返しデコーディング法を,新聞記事読み上げディクテーションタスクにて評価を行い,その有効性を確認した.In this paper, we study on a confidence based decoding method for improved speech recognition, and evaluate it. A word graph is constructed as an intermediate result in our 2-pass decoder. Confidence values are calculated from the word graph, and evaluated in word graph rescoring. In this study, we propose an iterative decoding method incorporating a confidence based search and word graph reconstruction. We evaluated the proposed method in LVCSR task. As a result, a slight improvement was observed in terms of the word accuracy compared to the standard 2-pass method.

In this paper, we study on a confidence based decoding method for improved speech recognition, and evaluate it. A word graph is constructed as an intermediate result in our 2-pass decoder. Confidence values are calculated from the word graph, and evaluated in word graph rescoring. In this study, we propose an iterative decoding method incorporating a confidence based search and word graph reconstruction. We evaluated the proposed method in LVCSR task. As a result, a slight improvement was observed in terms of the word accuracy compared to the standard 2-pass method.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2000(64(2000-SLP-032)), 1-6, 2000-07-14

    Information Processing Society of Japan (IPSJ)

References:  13

Cited by:  9

Codes

  • NII Article ID (NAID)
    110002917138
  • NII NACSIS-CAT ID (NCID)
    AN10442647
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    09196072
  • NDL Article ID
    5740268
  • NDL Source Classification
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No.
    Z14-1121
  • Data Source
    CJP  CJPref  NDL  NII-ELS  IPSJ 
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