Deep Xi Training Set

The clean-speech and noise recordings used to train Deep Xi (https://github.com/anicolson/DeepXi). A validation set is also included. Clean speech:The clean-speech recordings are from the test-clean-100 set of Librispeech (http://www.openslr.org/12/) and from the CSTR VCTK corpus (https://homepages.inf.ed.ac.uk/jyamagis/page3/page58/page58.html). Noise:The noise recordings are from the Environmental Background Noise dataset (https://personal.utdallas.edu/~nxk019000/VAD-dataset/), the Nonspeech dataset (http://web.cse.ohio-state.edu/pnl/corpus/HuNonspeech/HuCorpus.html), the QUT-NOISE dataset (https://research.qut.edu.au/saivt/databases/qut-noise-databases-and-protocols/), multiple Freesound packs (https://freesound.org/), the noise set of the MUSAN corpus (https://www.openslr.org/17/), the RSG-10 noise database (http://www.steeneken.nl/wp-content/uploads/2014/04/RSG-10_Noise-data-base.pdf) and the Urban Sound dataset (http://www.justinsalamon.com/uploads/4/3/9/4/4394963/salamon_urbansound_acmmm14.pdf). Note that the clean-speech and noise recordings used for this training set are separate from those used in the following test sets: Deep Xi Test Set (), Test Set from (), and the DEMAND Voicebank test set ().

本数据集包含用于训练Deep Xi（https://github.com/anicolson/DeepXi）的纯净语音与噪声录音，并附带验证集。纯净语音：该数据集的纯净语音录音取自Librispeech的test-clean-100子集与CSTR VCTK语料库，相关资源链接分别为http://www.openslr.org/12/ 及https://homepages.inf.ed.ac.uk/jyamagis/page3/page58/page58.html。噪声：本数据集的噪声录音来源于多类公开数据集与资源，包括环境背景噪声数据集（https://personal.utdallas.edu/~nxk019000/VAD-dataset/）、非语音数据集（http://web.cse.ohio-state.edu/pnl/corpus/HuNonspeech/HuCorpus.html）、QUT-NOISE数据集（https://research.qut.edu.au/saivt/databases/qut-noise-databases-and-protocols/）、多款Freesound素材包（https://freesound.org/）、MUSAN语料库的噪声子集（https://www.openslr.org/17/）、RSG-10噪声数据库（http://www.steeneken.nl/wp-content/uploads/2014/04/RSG-10_Noise-data-base.pdf）以及城市声音数据集（http://www.justinsalamon.com/uploads/4/3/9/4/4394963/salamon_urbansound_acmmm14.pdf）。需特别说明，本训练集所使用的纯净语音与噪声录音，与后续三类测试集所用数据相互独立，这三类测试集分别为Deep Xi测试集（）、来源未指定测试集（）以及DEMAND Voicebank测试集（）。

搜集汇总

背景与挑战

背景概述

Deep Xi数据集是一个专为语音增强和语音分离任务设计的开源数据集，包含训练集和测试集。训练集结合了来自Librispeech和CSTR VCTK的干净语音以及多个噪声数据库的噪声，测试集则用于评估模型性能，包含特定噪声条件下的语音样本。数据集以.wav格式提供，总大小为21.69 GB。