遇见数据集

Creating speech zones with self-distributing acoustic swarms (Augmented Dataset Part 1 of 2)

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Zenodo2023-08-07 更新2026-05-26 收录
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Datasets used in the paper: "Creating speech zones with self-distributing acoustic swarms" This deposit contains the <strong>first</strong> part of the augmented dataset containing simulated and real world collected data. The datasets contains 18000 training mixtures of 3-5 speakers, of which 6000 are simulated using PyRoomAcoustics, 6000 are created from synchronized real world recordings in an anechoic chamber, and 6000 are created from synchronized recordings in ordinary reverberant rooms. It also includes a validation set of 500 mixtures from reverberant rooms, and a testing set of 1000 mixtures from reverberant rooms. The source sounds are various utterances from the VCTK dataset. For real world data, the utterances are played over a Rokono Bass+ Mini Speaker. The recordings are captured from an array of 7 microphones, as they are recorded by our robotic swarm as it is distributed across the table. The recorded audio in the real world has been subjected to audio compression and decompression using the Opus Codec to enable multiple simultaneous streams. You must download <strong>both</strong> the first and the second part of this dataset in order to use it properly. To uncompress the two datasets, download both and execute: ```cat *.tar.gz.* | tar xvfz -``` Please see the Readme for more information. Please see related identifiers for other datasets.

本论文所使用的数据集对应论文《自分布声学集群构建语音区域》(Creating speech zones with self-distributing acoustic swarms)。本存档包含增强数据集的第一部分,涵盖模拟采集与真实世界采集的两类数据。该数据集包含18000组3至5位说话人的训练混合语音:其中6000组使用PyRoomAcoustics模拟生成,6000组来自消声室中的同步真实录制语音,剩余6000组来自普通混响房间内的同步录制语音。此外,数据集还包含500组来自混响房间的验证集混合语音,以及1000组来自混响房间的测试集混合语音。源语音均取自VCTK数据集(VCTK Dataset)的各类话语。对于真实世界采集的数据,语音通过Rokono Bass+ Mini Speaker音箱播放。录制工作由部署在桌面的机器人群体完成,采用7麦克风阵列进行拾音。真实世界录制的音频已通过Opus编解码器(Opus Codec)完成压缩与解压缩,以支持多流同时传输。若要正常使用本数据集,必须同时下载该数据集的第一部分与第二部分。解压两个数据集时,请先下载全部压缩包,再执行如下命令:cat *.tar.gz.* | tar xvfz - 更多详情请参阅数据集自述文件(Readme)。其他相关数据集可查看关联标识符信息。

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Zenodo
创建时间:
2023-08-07
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