README.md

---
language:
- bn
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: category
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: train
    num_bytes: 219091915.875
    num_examples: 1753
  download_size: 214321460
  dataset_size: 219091915.875
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# MegaBNSpeech Test Data

To evaluate the performance of the models, we used four test sets. Two of these were developed as part of the MegaBNSpeech corpus, while the remaining two (Fleurs and Common Voice) are commonly used test sets that are widely recognized by the speech community.

## Use dataset library:
```python
from datasets import load_dataset
dataset = load_dataset("hishab/MegaBNSpeech_Test_Data")
```
##  Reported Word error rate (WER) /character error rate (CER) on four test sets using four ASR systems

| Category           | Duration (hr) | MegaBNSpeech | Google MMS | OOD-speech  |
|-------------------- | -------------- | ------------ | ---------- | ----------- |
| MegaBNSpeech-YT    | 8.1            | 6.4/3.39     | 28.3/18.88 | 51.1/23.49  |
| MegaBNSpeech-Tel   | 1.9            | ∗40.7/24.38  | ∗59/41.26  | ∗76.8/39.36  |
|                    |                |              |            | ∗69.9/52.93  |

## Reported Word error rate (WER) /character error rate (CER) on different categories present in Hishab BN FastConformer

| Category           | Duration (hr) | Hishab BN FastConformer | Google MMS | OOD-speech  |
|-------------------- | -------------- | ------------ | ---------- | ----------- |
| News               | 1.21           | 2.5/1.21     | 18.9/10.46 | 52.2/21.65  |
| Talkshow           | 1.39           | 6/3.29       | 28/18.71   | 48.8/21.5   |
| Courses            | 3.81           | 6.8/3.79     | 30.8/21.64 | 50.2/23.52  |
| Drama              | 0.03           | 10.3/7.47    | 37.3/27.43 | 64.3/32.74  |
| Science            | 0.26           | 5/1.92       | 20.6/11.4  | 45.3/19.93  |
| Vlog               | 0.18           | 11.3/6.69    | 33/22.9    | 57.9/27.18  |
| Recipie            | 0.58           | 7.5/3.29     | 26.4/16.6  | 53.3/26.89  |
| Waz                | 0.49           | 9.6/5.45     | 33.3/23.1  | 57.3/27.46  |
| Movie              | 0.1            | 8/4.64       | 35.2/23.88 | 64.4/34.96  |