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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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Technical 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

Tags

  • real-time

Supported Automotive Devices

  • SA8295P ADP

Supported Automotive Chipsets

  • Qualcomm® SA8295P

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