FunASR-Conformer-EN: Optimized for Qualcomm Devices
FunASR Conformer-EN is a large-scale English ASR model from Alibaba DAMO Academy, trained on ~50,000 hours of English speech. It uses a 32-block Conformer encoder(512 hidden dim, 16 attention heads) with a CTC head for decoding. The model accepts raw 16kHz audio and outputs transcribed text via CTC greedy decoding.
This is based on the implementation of FunASR-Conformer-EN found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.50 | Download |
| TFLITE | float | Universal | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit FunASR-Conformer-EN on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for FunASR-Conformer-EN on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.speech_recognition
Model Stats:
- Input resolution: 1x160000 (10s at 16kHz)
- Model checkpoint: funasr/conformer-en
- Model size (float): ~840 MB
- Number of parameters: 220M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| FunASR-Conformer-EN | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 17.576 ms | 6 - 659 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 22.504 ms | 6 - 637 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Snapdragon® X2 Elite | 23.161 ms | 9 - 9 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Snapdragon® X Elite | 44.434 ms | 325 - 325 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 30.544 ms | 8 - 980 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 55.817 ms | 6 - 990 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 48.118 ms | 5 - 10 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 40.864 ms | 0 - 387 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® QCS8450 | 55.817 ms | 6 - 990 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 49.29 ms | 6 - 10 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 44.434 ms | 325 - 325 MB | NPU |
| FunASR-Conformer-EN | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 22.504 ms | 6 - 637 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 18.035 ms | 0 - 596 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 22.912 ms | 0 - 592 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® X2 Elite | 23.844 ms | 0 - 0 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® X Elite | 44.805 ms | 0 - 0 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 30.33 ms | 1 - 896 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 57.557 ms | 0 - 905 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 48.282 ms | 0 - 7 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 40.752 ms | 1 - 3 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® QCS8450 | 57.557 ms | 0 - 905 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 49.067 ms | 2 - 8 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 44.805 ms | 0 - 0 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 22.912 ms | 0 - 592 MB | NPU |
| FunASR-Conformer-EN | QNN_DLC | float | Qualcomm® SA8295P | 54.397 ms | 1 - 595 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 18.027 ms | 3 - 626 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 22.862 ms | 3 - 622 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 30.43 ms | 3 - 963 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 56.922 ms | 3 - 959 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 48.473 ms | 3 - 335 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 41.152 ms | 0 - 4 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® SA8775P | 48.186 ms | 3 - 621 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® SA8650P | 48.186 ms | 3 - 621 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® SA8255P | 48.186 ms | 3 - 621 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® QCS8450 | 56.922 ms | 3 - 959 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 48.86 ms | 3 - 335 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 22.862 ms | 3 - 622 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® SA7255P | 106.305 ms | 3 - 622 MB | NPU |
| FunASR-Conformer-EN | TFLITE | float | Qualcomm® SA8295P | 54.877 ms | 3 - 615 MB | NPU |
License
- The license for the original implementation of FunASR-Conformer-EN can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
