LibriWASN

LibriWASN is a data set whose design is based on the LibriCSS data set. The main difference is that the data was recorded by distributed devices of an acoustic sensor network, randomly positioned on a meeting table. Thus, the microphone channels between the devices show a sampling rate offset. The data set with a total length of 20 hours was recorded in two acoustically different rooms. An acoustics lab with a room reverberation time of about 200ms and a lab room with about 800ms reverberation time. Nine different devices with different numbers of channels are available: Five smartphones with a single recording channel, 2 compact microphone arrays with 6 channels, 1 compact microphone array with 4 channels, and 1 circular microphone array with 8 channels. A total of 29 channels are available in the recordings. The same LibriSpeech sentences and speakers of the LibriCSS dataset were re-recorded and the directory structures of LibriCSS were kept. The data set is organized into subsets with different percentages of speech overlap (0% - 40%). LibriWASN can be used for various research purposes, e.g., as a test set for synchronization algorithms, speech separation, diarization, and meeting transcription systems in wireless acoustic ad-hoc sensor networks. Visit https://github.com/fgnt/libriwasn for tools and scripts.

搜集汇总

背景与挑战

背景概述

LibriWASN是一个基于LibriCSS设计的音频数据集，记录了分布式设备在无线声学传感器网络中的异步录音，包含20小时的不同混响环境录音和多种设备通道配置。该数据集适用于语音处理相关研究，如同步算法、语音分离和会议转录系统等。