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.
Not supported
This model is currently not supported on any IoT chipset.
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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 IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-6690
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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