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XLS-R-english-phoneme
speech31/XLS-R-english-phoneme
XLS-R-english-phoneme is a automatic speech recognition model from speech31. Use it when you need speech turned into text. It is set up for transformers.
- Developed by: Eunjung Yeo - Model type: phone recognizer - Language(s) (SLP): English - Finetuned from model: XLS-R-300m
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 20, 2024
- Updated
- Feb 20, 2024
- SHA
- 0ced11b3
Model card
From the Hugging Face model README
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.
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Feb 20, 2024
- Updated
- Feb 20, 2024