---
language:
- en
- zh
task_categories:
- automatic-speech-recognition
tags:
- audio
- speech
- asr
- robustness
- noisy-speech
pretty_name: Voices-in-the-Wild-Bench
configs:
- config_name: default
  data_files:
  - split: real_distortion
    path: data/real_distortion-*.parquet
  - split: real_dropout
    path: data/real_dropout-*.parquet
  - split: real_echo
    path: data/real_echo-*.parquet
  - split: real_far_field
    path: data/real_far_field-*.parquet
  - split: real_mixed
    path: data/real_mixed-*.parquet
  - split: real_noise
    path: data/real_noise-*.parquet
  - split: real_obstructed
    path: data/real_obstructed-*.parquet
  - split: real_recording
    path: data/real_recording-*.parquet
  - split: syn_distortion
    path: data/syn_distortion-*.parquet
  - split: syn_dropout
    path: data/syn_dropout-*.parquet
  - split: syn_echo
    path: data/syn_echo-*.parquet
  - split: syn_far_field
    path: data/syn_far_field-*.parquet
  - split: syn_mixed
    path: data/syn_mixed-*.parquet
  - split: syn_noise
    path: data/syn_noise-*.parquet
  - split: syn_obstructed
    path: data/syn_obstructed-*.parquet
  - split: syn_recording
    path: data/syn_recording-*.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
  splits:
  - name: real_distortion
    num_bytes: 55456214
    num_examples: 150
  - name: real_dropout
    num_bytes: 58456076
    num_examples: 150
  - name: real_echo
    num_bytes: 55733234
    num_examples: 150
  - name: real_far_field
    num_bytes: 53090202
    num_examples: 150
  - name: real_mixed
    num_bytes: 167280376
    num_examples: 450
  - name: real_noise
    num_bytes: 57922174
    num_examples: 150
  - name: real_obstructed
    num_bytes: 58394744
    num_examples: 150
  - name: real_recording
    num_bytes: 54165700
    num_examples: 150
  - name: syn_distortion
    num_bytes: 137076996
    num_examples: 350
  - name: syn_dropout
    num_bytes: 135151778
    num_examples: 350
  - name: syn_echo
    num_bytes: 135258644
    num_examples: 350
  - name: syn_far_field
    num_bytes: 131172250
    num_examples: 350
  - name: syn_mixed
    num_bytes: 402623750
    num_examples: 1050
  - name: syn_noise
    num_bytes: 132750710
    num_examples: 350
  - name: syn_obstructed
    num_bytes: 132297710
    num_examples: 350
  - name: syn_recording
    num_bytes: 132296064
    num_examples: 350
---

# Voices-in-the-Wild-Bench

Voices-in-the-Wild-Bench is a bilingual benchmark for evaluating robust automatic speech recognition under real-world acoustic conditions. It contains 5,000 speech examples covering Chinese and English, synthetic and real-recorded speech, and eight acoustic scenarios.

## Dataset Composition

| Group | Count |
|---|---:|
| Synthetic speech | 3,500 |
| Real-recorded speech | 1,500 |
| Chinese | 2,500 |
| English | 2,500 |
| Total | 5,000 |

## Splits

Splits are organized by recording source and acoustic category. Prefixes denote source type:

- `real_`: real-recorded speech
- `syn_`: synthetic speech

Available categories are `noise`, `far_field`, `obstructed`, `distortion`, `recording`, `echo`, `dropout`, and `mixed`.

Example split names:

```text
real_noise
syn_noise
real_mixed
syn_mixed
```

## Fields

- `audio`: embedded audio feature.
- `file_name`: release-relative audio file name.
- `audio_path`: release-relative audio path.
- `question`: transcription instruction.
- `answer`: reference transcription.
- `text`: same as `answer`, provided for ASR tooling compatibility.
- `subset`: original subset label.
- `prediction`: empty placeholder for model outputs.
- `name`: sample name.
- `index`: sample index.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset(
    "zhifeixie/Voices-in-the-Wild-Bench",
    split="syn_noise",
)

sample = dataset[0]
audio = sample["audio"]
reference = sample["answer"]
```

## Evaluation

We report CER for Chinese samples and WER for English samples. See the project repository and leaderboard for evaluation scripts, model wrappers, and submission instructions:

- Repository: https://github.com/xzf-thu/Voices-in-the-Wild-Bench
- Leaderboard: https://xzf-thu.github.io/Voices-in-the-Wild-Bench/

## Citation

If you use this benchmark, please cite the associated paper. Citation metadata will be updated after release.