# Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays

arXiv: https://arxiv.org/abs/2103.15118 · HTML: https://mlsanity.com/paper/2103.15118/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Mar 2021.

## Built on by (most cited first, 5 of 5)

- [MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification](https://mlsanity.com/paper/2111.06458/) (2021)
- [Dual input neural networks for positional sound source localization](https://mlsanity.com/paper/2308.04169/) (2023)
- [UniWhisper: Efficient Continual Multi-task Training for Robust Universal Audio Representation](https://mlsanity.com/paper/2602.21772/) (2026)
- [Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays](https://mlsanity.com/paper/2103.15305/) (2021)
- [LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices](https://mlsanity.com/paper/2308.10682/) (2023)

## Abstract (arXiv)

Recently, there is a research trend on ad-hoc microphone arrays. However, most research was conducted on simulated data. Although some data sets were collected with a small number of distributed devices, they were not synchronized which hinders the fundamental theoretical research to ad-hoc microphone arrays. To address this issue, this paper presents a synchronized speech corpus, named Libri-adhoc40, which collects the replayed Librispeech data from loudspeakers by ad-hoc microphone arrays of 40 strongly synchronized distributed nodes in a real office environment. Besides, to provide the evaluation target for speech frontend processing and other applications, we also recorded the replayed speech in an anechoic chamber. We trained several multi-device speech recognition systems on both the Libri-adhoc40 dataset and a simulated dataset. Experimental results demonstrate the validness of the proposed corpus which can be used as a benchmark to reflect the trend and difference of the models with different ad-hoc microphone arrays. The dataset is online available at https://github.com/ISmallFish/Libri-adhoc40.