Wav2Vec2-Conformer-Large-960h
English speech recognition with Wav2Vec2‑Conformer encoder and CTC decoder.
Facebook Wav2Vec2‑Conformer‑Large is an English ASR model fine‑tuned on 960 hours of LibriSpeech. It uses a Conformer encoder with relative‑position attention (24 layers, 1024 hidden dim, 16 heads) and a CTC head for decoding. The model accepts raw 16kHz audio and outputs transcribed text via CTC greedy decoding.
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View for other chipsetsTechnical Details
Input resolution:1x160000 (10s at 16kHz)
Model checkpoint:facebook/wav2vec2-conformer-rel-pos-large-960h-ft
Model size (float):~2.4 GB
Number of parameters:~600M
Applicable Scenarios
- Smart Home
- Accessibility
- Transcription
License
Model:APACHE-2.0
Tags
- real-time
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
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