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Speako Phoneme Recognizer

ONNX export of vitouphy/wav2vec2-xls-r-300m-timit-phoneme (Apache-2.0) for in-browser phoneme recognition with Transformers.js. Used by Speako for pronunciation feedback: recognized IPA phonemes are aligned against...

Sourcehuggingface.co/robg/speako-phoneme-recognizer/tree/ad0f63cd58fc1bb1e9c261a3b4135997a31c2e58
TypeOtherModèle de basevitouphy/wav2vec2-xls-r-300m-timit-phonemeVersionRevision ad0f63c

Source du modèle

Type
Other
Taille du fichier
339 MB
Modèle de base
vitouphy/wav2vec2-xls-r-300m-timit-phoneme
Version
vRevision ad0f63c
Mis à jour
22 sept. 2026
Téléchargements
93
Source
Hugging Face

Description de la source

Speako Phoneme Recognizer

ONNX export of vitouphy/wav2vec2-xls-r-300m-timit-phoneme (Apache-2.0) for in-browser phoneme recognition with Transformers.js. Used by Speako for pronunciation feedback: recognized IPA phonemes are aligned against CMUdict reference pronunciations to score each word.

  • onnx/model_quantized.onnx (~355 MB): INT8 dynamic quantization of MatMul ops only — quantized Conv layers crash onnxruntime, so the convolutional feature extractor stays fp32.
  • tokenizer.json is synthesized from vocab.json (the source repo ships only a slow CTC tokenizer, which Transformers.js cannot load).
  • Output: IPA phonemes from a 39-symbol TIMIT-derived inventory, words separated by spaces. Run on CPU/WASM.
import { pipeline } from '@huggingface/transformers';
const asr = await pipeline('automatic-speech-recognition', 'robg/speako-phoneme-recognizer', {
  dtype: 'q8',
  device: 'wasm',
});
const { text } = await asr(float32Audio16kHz); // "ɪn ʤɛnɝəl tɛknɑləʤi ..."

Sources

1 source
Hugging FacePrincipalVersion ad0f63cd58fc1bb1e9c261a3b4135997a31c2e58
huggingface.co/robg/speako-phoneme-recognizer/tree/ad0f63cd58fc1bb1e9c261a3b4135997a31c2e58

Vérifié 22 sept.

Artefacts du modèle

1 artefact

onnx/model_quantized.onnx

onnx · 339 MB · SHA-256 1e03fc69aa5b…577e · Hugging Face

Download file

Extraits de sources

2 extraits
Readme22 sept.huggingface.co/robg/speako-phoneme-recognizer

--- language: en library_name: transformers.js pipeline_tag: automatic-speech-recognition license: apache-2.0 base_model: vitouphy/wav2vec2-xls-r-300m-timit-phoneme tags: - phoneme-recognition - pronunciation - onnx --- # Speako Phoneme Recognizer ONNX export of [vitouphy/wav2vec2-xls-r-300m-timit-phoneme](https://huggingface.co/vitouphy/wav2vec2-xls-r-300m-timit-phoneme) (Apache-2.0) for in-browser phoneme recognition with [Transformers.js](https://huggingface.co/docs/transformers.js). Used by [Speako](https://speako.tre.systems/) for pronunciation feedback: recognized IPA phonemes are aligned against CMUdict reference pronunciations to score each word. - `onnx/model_quantized.onnx` (~355 MB): INT8 dynamic quantization of MatMul ops only — quantized Conv layers crash onnxruntime, so the convolutional feature extractor stays fp32. - `tokenizer.json` is synthesized from `vocab.json` (the source repo ships only a slow CTC tokenizer, which Transformers.js cannot load). - Output: IPA phonemes from a 39-symbol TIMIT-derived inventory, words separated by spaces. Run on CPU/WASM. ```js import { pipeline } from '@huggingface/transformers'; const asr = await pipeline('automatic-speech-recognition', 'robg/speako-phoneme-recognizer', { dtype: 'q8', device: 'wasm', }); const { text } = await asr(float32Audio16kHz); // "ɪn ʤɛnɝəl tɛknɑləʤi ..." ```

Note22 sept.huggingface.co/robg/speako-phoneme-recognizer

Source context: 93 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers.js · Repo robg/speako-phoneme-recognizer