Multichannel Robot Speech Recognition Database: MChRSR

TL;DR

This paper introduces the MChRSR database, a multichannel speech dataset recorded in real robot interaction scenarios with various movements, aimed at improving robot speech recognition under noisy conditions.

Contribution

It presents a new multichannel speech database recorded in real HRI scenarios with robot movements, facilitating research on noise-robust robot speech recognition.

Findings

12 hours of multichannel data collected

Recorded in real HRI scenarios with robot movements

Re-recorded Aurora 4 in different movement conditions

Abstract

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.