CAVEMOVE: An Acoustic Database for the Study of Voice-enabled Technologies inside Moving Vehicles

TL;DR

This paper introduces CAVEMOVE, a comprehensive acoustic database with recordings of impulse responses and noise in moving vehicles, supporting research on voice-enabled tech in automotive environments.

Contribution

It provides a new, publicly available acoustic database and Python API tailored for developing voice-enabled systems in moving vehicles.

Findings

Database includes static and in-motion acoustic recordings.

Two microphone configurations are used for comprehensive data collection.

First version of Python API and dataset are freely available.

Abstract

In this paper, we present an acoustic database, designed to drive and support research on voiced enabled technologies inside moving vehicles. The recording process involves (i) recordings of acoustic impulse responses, acquired under static conditions to provide the means for modeling the speech and car-audio components (ii) recordings of acoustic noise at a wide range of static and in-motion conditions. Data are recorded with two different microphone configurations, particularly (i) a compact microphone array and (ii) a distributed microphone setup. We briefly describe the conditions under which the recordings were acquired, and we provide insight into a Python API that we designed to support the research and development of voice-enabled technologies inside moving vehicles. The first version of this Python API and part of the described dataset are available for free download.