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成果報告書詳細
管理番号20160000000753
タイトル*平成27年度中間年報 国際研究開発・実証プロジェクト/コファンド事業 日本ーイスラエル研究開発協力事業 光学マイクロフォンを利用したヘッドセットを用いた高騒音下でも使用可能な音声認識システムの研究開発
公開日2017/4/25
報告書年度2015 - 2015
委託先名株式会社フュートレック 株式会社ATR-Trek
プロジェクト番号P14005
部署名IoT推進部
和文要約
英文要約Title: An ASR (Automatic Speech Recognition) with optical microphone based headset for improved speech recognition under high noise environment (FY2015-2017) FY2015 Annual Report 

This project is divided into 5 major items. (1)Development of High S/N optical microphone: Following specification was fixed as targeted. 1.Mechanical dimension of the module 2.Major electrical characteristics 3.Interface definitions. (2)Development of VAD/Pitch information detection method from the optical microphone: Accuracy measurement of the VZ’s current VAD/Pitch detection algorithm was done. We are in the process of determining the location of the acoustic microphones and an optical microphone, and the specification of the VAD/Pitch detection algorithm. (3)Development of NR algorithm using VAD/Pitch information from optical microphone: The base NR algorithm selection was completed. Audio recording using VZ’s current EVK (Evaluation kit), and commercialized NTT-AT’s microphone system, was performed and the NR characteristics of each system was measured. We are in the process of determining the specification of NR algorithm to be developed for the entire system.
(4)Development of optical microphone equipped head set: Following survey and analysis has been performed in order to establish the specification of state-of-the-art head set. 1.Voice characteristics evaluation of competitors head set, 2. Voice Recognition characteristics evaluation of competitors head set, 3. Acoustic Model evaluation by using competitors head set, 4. Technical investigation on each aspect of the head set specification, 5. Analysis on NR characteristics of Optical microphone with existing algorithm. (5) Development of the optimized ASR system for optical microphone equipped head set: The test environment and the test tasks were specified in order to evaluate the ASR system through the course of this development. Also, the test data was prepared. Overall, necessary preparation for the development was done within the fiscal year of 2015.
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