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---
license: apache-2.0
datasets:
- mozilla-foundation/common_voice_10_0
base_model:
- facebook/wav2vec2-xls-r-300m
tags:
- pytorch
- phoneme-recognition
pipeline_tag: automatic-speech-recognition
---
Model Information
=================
Allophant is a multilingual phoneme recognizer trained on spoken sentences in 34 languages, capable of generalizing zero-shot to unseen phoneme inventories.
The model is based on [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) and was pre-trained on a subset of the [Common Voice Corpus 10.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0) transcribed with [eSpeak NG](https://github.com/espeak-ng/espeak-ng).
| Model Name | UCLA Phonetic Corpus (PER) | UCLA Phonetic Corpus (AER) | Common Voice (PER) | Common Voice (AER) |
| ---------------- | ---------: | ---------: | -------: | -------: |
| [Multitask](https://huggingface.co/kgnlp/allophant) | **45.62%** | 19.44% | **34.34%** | **8.36%** |
| [Hierarchical](https://huggingface.co/kgnlp/allophant-hierarchical) | 46.09% | **19.18%** | 34.35% | 8.56% |
| [Multitask Shared](https://huggingface.co/kgnlp/allophant-shared) | 46.05% | 19.52% | 41.20% | 8.88% |
| **Baseline Shared** | 48.25% | - | 45.35% | - |
| [Baseline](https://huggingface.co/kgnlp/allophant-baseline) | 57.01% | - | 46.95% | - |
Note that our baseline models were trained without phonetic feature classifiers and therefore only support phoneme recognition.
Citation
========
```bibtex
@inproceedings{glocker2023allophant,
title={Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes},
author={Glocker, Kevin and Herygers, Aaricia and Georges, Munir},
year={2023},
booktitle={{Proc. Interspeech 2023}},
month={8}}
```
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