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We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color

Noisy speech and ideal binary mask estimates for the SPN-ASI repository.

The training, validation, and test set used for Deep Xi (https://github.com/anicolson/DeepXi). 

 Training set:

This is the noisy-speech test set used in the original Deep Xi paper: https://doi.org/10.1016/j.specom.2019.06.002. The clean speech and noise used to create the noisy-speech set are also available. The clean-speech recordings are from the TSP speech database (http://www-mmsp.ece.mcgill.ca/Documents/Data/TSP-Speech-Database/TSP-Speech-Database.pdf).

Noisy-speech set used to test Deep Xi (https://github.com/anicolson/DeepXi). The clean speech and noise used to create the noisy-speech set are also available. The clean-speech recordings are from Librispeech test-clean (http://www.openslr.org/12/).

The present database contains records of underwater sounds produced by dolphins of the species Tursiops Truncatos. The dolphins live in Dolphinarium Varna (Varna, Bulgaria) and are a family of five

individuals. The records was made in the autumn 2019 by the “SigNautic Lab” crew, using measurement equipment of the world’s leading suppliers Bruel&Kjaer and National Instruments. The database