README.md

---
license:
  - cc-by-4.0
task_categories:
  - text-to-speech
language:
  - en
pretty_name: ame
size_categories:
  - 10M<n<100M
configs:
  - config_name: default
    data_files:
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*
      - split: train
        path: data/train-*
---

# Aligned English MLS
We use the Montreal Forced Aligner to align English audio files to transcripts. The dataset contains a total of 44.5K hours of English audio speech.

We only provide the aligned TextGrid files. To download the audio files, you can use the Parler MLS English dataset available at [parler-tts/mls_eng](https://huggingface.co/datasets/parler-tts/mls_eng).

This dataset can be used to train TTS models by leveraging the ground truth phoneme durations to align phoneme features with acoustic features.

### Download the Dataset
To download the dataset, use the following command:

```
huggingface-cli download ntt123/aligned_mls_eng --repo-type dataset
```

### Read TextGrid Files
To read the TextGrid files, you can use the `textgrid` library. First, install the library:

```
pip install textgrid
```

Then, load and process a TextGrid file with the following example code:

```python
import textgrid

# Load the TextGrid file
tg = textgrid.TextGrid.fromFile('test.TextGrid')
```