---
language:
- en
- zh
license: apache-2.0
task_categories:
- automatic-speech-recognition
pretty_name: Voices in the Wild
tags:
- audio
- speech
- asr
- robustness
- noisy-speech
configs:
- config_name: default
  data_files:
  - split: distortion
    path: data/distortion-*.parquet
  - split: distortion_dropout
    path: data/distortion_dropout-*.parquet
  - split: distortion_dropout_noise
    path: data/distortion_dropout_noise-*.parquet
  - split: distortion_noise
    path: data/distortion_noise-*.parquet
  - split: dropout
    path: data/dropout-*.parquet
  - split: echo
    path: data/echo-*.parquet
  - split: echo_distortion
    path: data/echo_distortion-*.parquet
  - split: echo_distortion_dropout
    path: data/echo_distortion_dropout-*.parquet
  - split: echo_distortion_dropout_noise
    path: data/echo_distortion_dropout_noise-*.parquet
  - split: echo_dropout
    path: data/echo_dropout-*.parquet
  - split: echo_noise
    path: data/echo_noise-*.parquet
  - split: echo_recording
    path: data/echo_recording-*.parquet
  - split: echo_recording_distortion
    path: data/echo_recording_distortion-*.parquet
  - split: echo_recording_distortion_dropout
    path: data/echo_recording_distortion_dropout-*.parquet
  - split: echo_recording_distortion_dropout_noise
    path: data/echo_recording_distortion_dropout_noise-*.parquet
  - split: echo_recording_distortion_noise
    path: data/echo_recording_distortion_noise-*.parquet
  - split: echo_recording_dropout
    path: data/echo_recording_dropout-*.parquet
  - split: echo_recording_dropout_noise
    path: data/echo_recording_dropout_noise-*.parquet
  - split: far_field
    path: data/far_field-*.parquet
  - split: far_field_distortion
    path: data/far_field_distortion-*.parquet
  - split: far_field_distortion_dropout
    path: data/far_field_distortion_dropout-*.parquet
  - split: far_field_distortion_dropout_noise
    path: data/far_field_distortion_dropout_noise-*.parquet
  - split: far_field_dropout
    path: data/far_field_dropout-*.parquet
  - split: far_field_noise
    path: data/far_field_noise-*.parquet
  - split: far_field_recording
    path: data/far_field_recording-*.parquet
  - split: far_field_recording_distortion
    path: data/far_field_recording_distortion-*.parquet
  - split: far_field_recording_distortion_dropout
    path: data/far_field_recording_distortion_dropout-*.parquet
  - split: far_field_recording_distortion_dropout_noise
    path: data/far_field_recording_distortion_dropout_noise-*.parquet
  - split: far_field_recording_distortion_noise
    path: data/far_field_recording_distortion_noise-*.parquet
  - split: far_field_recording_dropout
    path: data/far_field_recording_dropout-*.parquet
  - split: far_field_recording_dropout_noise
    path: data/far_field_recording_dropout_noise-*.parquet
  - split: noise
    path: data/noise-*.parquet
  - split: noise_dropout
    path: data/noise_dropout-*.parquet
  - split: obstructed
    path: data/obstructed-*.parquet
  - split: obstructed_distortion
    path: data/obstructed_distortion-*.parquet
  - split: obstructed_distortion_dropout
    path: data/obstructed_distortion_dropout-*.parquet
  - split: obstructed_distortion_dropout_noise
    path: data/obstructed_distortion_dropout_noise-*.parquet
  - split: obstructed_dropout
    path: data/obstructed_dropout-*.parquet
  - split: obstructed_noise
    path: data/obstructed_noise-*.parquet
  - split: obstructed_recording
    path: data/obstructed_recording-*.parquet
  - split: obstructed_recording_distortion
    path: data/obstructed_recording_distortion-*.parquet
  - split: obstructed_recording_distortion_dropout
    path: data/obstructed_recording_distortion_dropout-*.parquet
  - split: obstructed_recording_distortion_dropout_noise
    path: data/obstructed_recording_distortion_dropout_noise-*.parquet
  - split: obstructed_recording_distortion_noise
    path: data/obstructed_recording_distortion_noise-*.parquet
  - split: obstructed_recording_dropout
    path: data/obstructed_recording_dropout-*.parquet
  - split: obstructed_recording_dropout_noise
    path: data/obstructed_recording_dropout_noise-*.parquet
  - split: recording
    path: data/recording-*.parquet
  - split: recording_distortion
    path: data/recording_distortion-*.parquet
  - split: recording_distortion_dropout
    path: data/recording_distortion_dropout-*.parquet
  - split: recording_distortion_dropout_noise
    path: data/recording_distortion_dropout_noise-*.parquet
  - split: recording_distortion_noise
    path: data/recording_distortion_noise-*.parquet
  - split: recording_dropout
    path: data/recording_dropout-*.parquet
  - split: recording_dropout_noise
    path: data/recording_dropout_noise-*.parquet
  - split: recording_noise
    path: data/recording_noise-*.parquet
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: file_name
    dtype: string
  - name: audio_path
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: text
    dtype: string
  - name: subset
    dtype: string
  - name: prediction
    dtype: string
  - name: name
    dtype: string
  - name: index
    dtype: int64
---

# Voices in the Wild

[**Project Page**](https://xzf-thu.github.io/Mega-ASR/) | [**Paper**](https://huggingface.co/papers/2605.19833) | [**GitHub**](https://github.com/xzf-thu/Mega-ASR)

Voices in the Wild (Voices-in-the-Wild-2M) is a large-scale automatic speech recognition (ASR) dataset designed for robustness training and evaluation under diverse, real-world acoustic conditions. It covers 7 classic acoustic phenomena (including noise, far-field speech, obstruction, echo/reverberation, recording artifacts, electronic distortion, and transmission dropout) and 54 physically plausible compound scenarios.

The dataset was introduced as part of the **Mega-ASR** framework to address the "acoustic robustness bottleneck" where models produce omissions or hallucinations under severe compositional distortions.

## Data Fields

- `file_name`: relative path to the audio file.
- `audio_path`: audio path retained for local tooling.
- `text`: transcription alias copied from `answer`.
- `answer`: reference transcription.
- `question`: transcription instruction.
- `subset`: normalized acoustic condition category.
- `prediction`: empty placeholder for model output.
- `name`: public sample identifier.
- `index`: integer sample index.

## Dataset Size

- **Total examples**: 645,925
- **Subset categories**: 54

## Loading

```python
from datasets import load_dataset, Audio

# Load the dataset from the Hub
ds = load_dataset("zhifeixie/Voices-in-the-Wild-2M")
ds = ds.cast_column("audio", Audio())

# Access an example
print(ds["far_field"][0])
```

## Citation

```bibtex
@misc{xie2026megaasrinthewild2speechrecognition,
      title={Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation},
      author={Zhifei Xie and Kaiyu Pang and Haobin Zhang and Deheng Ye and Xiaobin Hu and Shuicheng Yan and Chunyan Miao},
      year={2026},
      eprint={2605.19833},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2605.19833},
}
```