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.

LibriWASN是一款基于LibriCSS数据集开发的数据集。其核心差异在于，该数据集的数据由随机布置于会议桌的声学传感器网络分布式设备采集录制，因此不同设备间的麦克风通道存在采样率偏移。该数据集总时长为20小时，在两个声学特性迥异的房间内录制：一个是混响时间约200ms的声学实验室，另一个是混响时间约800ms的实验室房间。本次录制共使用9款不同通道数的设备：5款单录制通道的智能手机、2款6通道紧凑型麦克风阵列、1款4通道紧凑型麦克风阵列，以及1款8通道环形麦克风阵列，总计提供29个可用麦克风通道。该数据集重新录制了LibriCSS数据集所使用的LibriSpeech语句与说话人素材，并保留了LibriCSS的目录组织结构。该数据集按语音重叠率（0% - 40%）划分为不同子集。LibriWASN可应用于多种研究场景，例如作为无线声学自组织传感器网络中同步算法、语音分离、说话人 diarization（Speaker Diarization）以及会议转录系统的测试集。可访问 https://github.com/fgnt/libriwasn 获取相关工具与脚本。

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。