---
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}}
```