HI-MIA
Identifier: SLR85
Summary: A far-field text-dependent speaker verification database for AISHELL Speaker Verification Challenge 2019
Category: Speech
License: Apache License v.2.0
Downloads (use a mirror closer to you):
train.tar.gz [36G] (Training set with speaker dependent sub folders
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dev.tar.gz [5.1G] (Dev set with speaker dependent sub folders
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test.tar.gz [4.7G] (Test set with target/non-target answer
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test_v2.tar.gz [4.7G] (Updated test set fixing corrupted audio files
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filename_mapping.tar.gz [5.9M] (Filename mapping rules for multi-channel information
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About this resource:
The contents are wake-up words "Hi, Mia" in both Chinese and English. The data is collected in real home environment using microphone arrays and Hi-Fi microphone. The collection process and development of a baseline system was described in the paper below. The data used in the challenge is extracted from 1 Hi-Fi microphone and 16-channel circular microphone arrays for 1/3/5 meters. And the contents are the Chinese wake-up words. The whole set is divided into train (254 people), dev (42 people) and test (44 people) subsets. Test subset is provided with paired target/non-target answer to evaluate verification results.
You can cite the data using the following BibTeX entry:
@misc{himia,
title={HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines},
author={Xiaoyi Qin and Hui Bu and Ming Li},
year={2019},
eprint={1912.01231},
archivePrefix={arXiv},
primaryClass={cs.SD}
}
External URL: http://aishelltech.com/wakeup_data
