README.md

---
license: apache-2.0
language:
- zh
tags:
- speaker-verification
- text-dependent-speaker-verification
- far-field-speech
- wake-up-word
- microphone-array
- aishell
pretty_name: HI-MIA
---

# HI-MIA

## Dataset Description

HI-MIA is a far-field text-dependent speaker verification database used in the **AISHELL Speaker Verification Challenge 2019**.

The data is extracted from a larger database called **AISHELL-WakeUp-1**. The original resource contains wake-up words **"Hi, Mia"** in both Chinese and English. The challenge data provided in this resource uses the Chinese wake-up words.

The recordings were collected in real home environments using microphone arrays and a Hi-Fi microphone. The challenge data is extracted from:

- 1 Hi-Fi microphone
- 16-channel circular microphone arrays
- Recording distances of 1 meter, 3 meters, and 5 meters

## Dataset Source

The dataset is available from OpenSLR:

- OpenSLR: http://openslr.org/85/
- External URL: http://aishelltech.com/wakeup_data

## Dataset Structure

The dataset is divided into three subsets:

| Split | Number of Speakers | Description |
|---|---:|---|
| Train | 254 | Training set with speaker-dependent subfolders |
| Dev | 42 | Development set with speaker-dependent subfolders |
| Test | 44 | Test set with paired target/non-target answer for speaker verification evaluation |

OpenSLR provides the following downloadable files:

| File | Size | Description |
|---|---:|---|
| `train.tar.gz` | 36 GB | Training set with speaker-dependent subfolders |
| `dev.tar.gz` | 5.1 GB | Development set with speaker-dependent subfolders |
| `test.tar.gz` | 4.7 GB | Test set with target/non-target answer |
| `test_v2.tar.gz` | 4.7 GB | Updated test set fixing corrupted audio files |
| `filename_mapping.tar.gz` | 5.9 MB | Filename mapping rules for multi-channel information |

## Dataset Creation

The data was collected in real home environments. The collection process and the development of baseline systems are described in the paper cited below.

## Intended Uses

This dataset is intended for research on:

- Far-field speaker verification
- Text-dependent speaker verification
- Wake-up word speaker verification
- Microphone-array based speaker verification

## License

The dataset is released under the **Apache License v2.0**.

## Citation

If you use this dataset, please cite:

```bibtex
@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}
}