多チャネルロボット音声認識データベース MChRSR
Multichannel Robot Speech Recognition Database: MChRSR
移動ロボットの動作音や背景雑音を含む実環境で12時間分の多チャネル音声データを収録し、Aurora 4を再録音して16種の評価セットを構築したデータベース論文。
著者: José Novoa, Juan Pablo Escudero, Josué Fredes, Jorge Wuth, Rodrigo Mahu, Néstor Becerra Yoma
分類: cs.HC, cs.RO
原文アブストラクト
In real human robot interaction (HRI) scenarios, speech recognition represents a major challenge due to robot noise, background noise and time-varying acoustic channel. This document describes the procedure used to obtain the Multichannel Robot Speech Recognition Database (MChRSR). It is composed of 12 hours of multichannel evaluation data recorded in a real mobile HRI scenario. This database was recorded with a PR2 robot performing different translational and azimuthal movements. Accordingly, 16 evaluation sets were obtained re-recording the clean set of the Aurora 4 database in different movement conditions.