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---
pipeline_tag: automatic-speech-recognition
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
- **Developed by:** Eunjung Yeo
- **Model type:** phone recognizer
- **Language(s) (SLP):** English
- **Finetuned from model:** XLS-R-300m
### Direct Use
- Phone recognition
### Downstream Use [optional]
- Analysis of phonetic transcriptions
- L2 Pronunciation Assessment (Mispronunciation Detection and Diagnosis)
- Mispronunciation Assessment for pathological speech
## How to Get Started with the Model
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("speech31/XLS-R-english-phoneme")
model = AutoModelForCTC.from_pretrained("speech31/XLS-R-english-phoneme")
## Training Details
### Training Data
This model is fine-tuned on the TIMIT dataset.
(Can be downloaded from https://catalog.ldc.upenn.edu/LDC93s1)
#### Preprocessing
The dataset was preprocessed using Epitran for transliterating text into IPA.
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