BIRD: Big Impulse Response Dataset

TL;DR

BIRD is the largest open dataset of 100,000 multichannel room impulse responses, enabling efficient data augmentation for speech processing tasks involving multiple microphones and sources.

Contribution

This paper presents BIRD, the largest multichannel RIR dataset generated via simulation, facilitating improved data augmentation in speech applications.

Findings

BIRD enables efficient online data augmentation.

The dataset supports scenarios with two microphones and multiple sound sources.

Use cases demonstrate improved speech processing performance.

Abstract

This paper introduces BIRD, the Big Impulse Response Dataset. This open dataset consists of 100,000 multichannel room impulse responses (RIRs) generated from simulations using the Image Method, making it the largest multichannel open dataset currently available. These RIRs can be used toperform efficient online data augmentation for scenarios that involve two microphones and multiple sound sources. The paper also introduces use cases to illustrate how BIRD can perform data augmentation with existing speech corpora.