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Silent Lip Reader Model

The visual-speech-recognition (lip-reading) model weights used by the Silent Lip Reader Space. Re-hosted here so that the open-source Space is self-contained and does not break if upstream repos move.

ArtOtherVersionPytorch modelBBewertung

Modellquelle

Art
Other
Dateigröße
955 MB
Version
vPytorch model
Aktualisiert
10. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

Silent Lip Reader — VSR weights

The visual-speech-recognition (lip-reading) model weights used by the Silent Lip Reader Space. Re-hosted here so that the open-source Space is self-contained and does not break if upstream repos move.

  • Architecture: Auto-AVSR — ResNet-3D + Conformer encoder, Transformer decoder, joint CTC/attention. Input: 88×88 grayscale mouth crops @ 25fps. Output: text via a 5000-unit SentencePiece (unigram5000) vocabulary. Video-only (no audio path).
  • Files: pytorch_model.pt (state dict), unigram5000.model, unigram5000_units.txt.

Credits / provenance (please read)

This checkpoint is not trained by the re-host. Honest attribution:

  • Model architecture & training: Auto-AVSR (Pingchuan Ma et al., "Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels"). All model credit to the original authors.
  • Checkpoint source: mirrored from AD1TEYA/lip-reading-model on the Hub.
  • Re-host + the surrounding system, demo, visual-VAD pipeline, evaluation and research: Ahmet Dedeler (🤗 aaahmet).

Intended use

Research and demos of silent visual speech recognition. The weights were trained on LRS3-derived data; treat as research use. Best on clear, frontal, well-articulated English. ~25–30% WER on clean speech, higher on casual speech (lip reading is inherently ambiguous — many phonemes look identical on the lips).

Usage

Used by the Silent Lip Reader Space — record a (silent) video, it crops your mouth, chunks utterances by lip motion, and decodes text. See the Space for the full pipeline and research log.


Built / curated by Ahmet Dedeler — https://ahmetdedeler.com. A credit/link back is appreciated if you use this. License MIT (follows the upstream Space).

Quellen

1 Quelle
Hugging FacePrimärVersion ff1e35515594eb4562c469b99d147cf6a3d2891e
huggingface.co/aaahmet/silent-lip-reader-model/tree/ff1e35515594eb4562c469b99d147cf6a3d2891e

Verifiziert 10. Okt.

Modellartefakte

1 Artefakt

pytorch_model.pt

pt · 955 MB · SHA-256 fbf7cd70ff1c…8ddb · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: mit tags: - lip-reading - visual-speech-recognition - vsr - silent-speech - auto-avsr library_name: pytorch pipeline_tag: video-classification --- # Silent Lip Reader — VSR weights The visual-speech-recognition (lip-reading) model weights used by the [**Silent Lip Reader** Space](https://huggingface.co/spaces/aaahmet/silent-lip-reader). Re-hosted here so that the open-source Space is **self-contained** and does not break if upstream repos move. - **Architecture:** Auto-AVSR — ResNet-3D + Conformer encoder, Transformer decoder, joint CTC/attention. Input: 88×88 grayscale mouth crops @ 25fps. Output: text via a 5000-unit SentencePiece (`unigram5000`) vocabulary. **Video-only** (no audio path). - **Files:** `pytorch_model.pt` (state dict), `unigram5000.model`, `unigram5000_units.txt`. ## Credits / provenance (please read) This checkpoint is **not** trained by the re-host. Honest attribution: - **Model architecture & training:** **Auto-AVSR** (Pingchuan Ma et al., *"Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels"*). All model credit to the original authors. - **Checkpoint source:** mirrored from `AD1TEYA/lip-reading-model` on the Hub. - **Re-host + the surrounding system, demo, visual-VAD pipeline, evaluation and research:** **[Ahmet Dedeler](https://ahmetdedeler.com)** ([🤗 aaahmet](https://huggingface.co/aaahmet)). ## Intended use Research and demos of silent visual speech recognition. The weights were trained on LRS3-derived data; treat as **research use**. Best on clear, frontal, well-articulated English. ~25–30% WER on clean speech, higher on casual speech (lip reading is inherently ambiguous — many phonemes look identical on the lips). ## Usage Used by the Silent Lip Reader Space — record a (silent) video, it crops your mouth, chunks utterances by lip motion, and decodes text. See the [Space](https://huggingface.co/spaces/aaahmet/silent-lip-reader) for the full pipeline and research log. --- Built / curated by **Ahmet Dedeler** — https://ahmetdedeler.com. A credit/link back is appreciated if you use this. License MIT (follows the upstream Space).

Source context: 0 downloads · 4 likes · Pipeline video-classification · Library pytorch · Repo aaahmet/silent-lip-reader-model