Estimation of Speech Intelligibility using Automatic Speech Recognition
Project/Area Number |
20500151
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | Yamagata University |
Principal Investigator |
KONDO Kazuhiro 山形大学, 大学院・理工学研究科, 准教授 (10312753)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
Keywords | 音声了解度 / 音声認識 / 二者択一型試験 / 客観的推定 / 客観的品質推定 |
Research Abstract |
We investigated on a method to estimate the speech intelligibility of noisy speech without human listeners. We used an automatic speech recognizer, and estimate the intelligibility from the recognition results. A recognition grammar which allows one of the two words in the word-pair of the two-to-one forced selection intelligibility test was used. Using acoustic models that were adapted to speech with a wide variation of noise levels, i.e. multi-condition adapted models, we were able to obtain intelligibility estimation accuracy high enough for its application to a wide variety of noise levels.
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Report
(4 results)
Research Products
(20 results)