---
license: mit
language:
- en
base_model:
- nvidia/parakeet-tdt-0.6b-v2
tags:
- speech
- recognition
- asr
---

This model was created for the [On Top of Pasketti: Children’s Speech Recognition Challenge - Word Track](https://www.drivendata.org/competitions/308/childrens-word-asr/) competition. It was trained on a large-scale dataset specifically designed for children's speech recognition.

Model is based on **nvidia/parakeet-tdt-0.6b-v2**.
* Local validation WER: 0.1055
* Private Leaderboard WER: (unknown)

Usage:

```
pip install -U nemo_toolkit["asr"]
```

```
wget https://github.com/drivendataorg/childrens-speech-recognition-runtime/raw/refs/heads/main/data-demo/phonetic/audio/U_1c8757065e355c35.flac
```

```python
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.ASRModel.from_pretrained(model_name="ZFTurbo/parakeet-tdt-0.6b-v2-Children-Words")
output = asr_model.transcribe(['U_1c8757065e355c35.flac'])
print(output[0].text)
```

More usage examples: [https://github.com/ZFTurbo/Children-Speech-Recognition-Challenge-Solution](https://github.com/ZFTurbo/Children-Speech-Recognition-Challenge-Solution)