README.md

---
library_name: pytorch
license: other
tags:
- foundation
- android
pipeline_tag: automatic-speech-recognition

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/whisper_tiny_en/web-assets/model_demo.png)

# Whisper-Tiny-En: Optimized for Mobile Deployment
## Automatic speech recognition (ASR) model for English transcription as well as translation


OpenAI’s Whisper ASR (Automatic Speech Recognition) model is a state-of-the-art system designed for transcribing spoken language into written text. It exhibits robust performance in realistic, noisy environments, making it highly reliable for real-world applications. Specifically, it excels in long-form transcription, capable of accurately transcribing audio clips up to 30 seconds long. Time to the first token is the encoder's latency, while time to each additional token is decoder's latency, where we assume a mean decoded length specified below.

This model is an implementation of Whisper-Tiny-En found [here](https://github.com/openai/whisper/tree/main).


This repository provides scripts to run Whisper-Tiny-En on Qualcomm® devices.
More details on model performance across various devices, can be found
[here](https://aihub.qualcomm.com/models/whisper_tiny_en).



### Model Details

- **Model Type:** Model_use_case.speech_recognition
- **Model Stats:**
  - Model checkpoint: tiny.en
  - Input resolution: 80x3000 (30 seconds audio)
  - Mean decoded sequence length: 112 tokens
  - Number of parameters (WhisperEncoderInf): 9.39M
  - Model size (WhisperEncoderInf) (float): 35.9 MB
  - Number of parameters (WhisperDecoderInf): 28.3M
  - Model size (WhisperDecoderInf) (float): 108 MB

| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
|---|---|---|---|---|---|---|---|---|
| WhisperEncoderInf | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 403.879 ms | 19 - 41 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 104.864 ms | 0 - 248 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 134.744 ms | 20 - 63 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 101.25 ms | 1 - 233 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 102.578 ms | 20 - 69 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 53.275 ms | 0 - 83 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 168.689 ms | 20 - 44 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 53.369 ms | 0 - 245 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 403.879 ms | 19 - 41 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 104.864 ms | 0 - 248 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 99.301 ms | 20 - 67 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 50.547 ms | 0 - 87 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 104.275 ms | 20 - 49 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 80.552 ms | 1 - 236 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 102.517 ms | 20 - 68 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 50.435 ms | 0 - 83 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 168.689 ms | 20 - 44 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 53.369 ms | 0 - 245 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 100.617 ms | 20 - 68 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 53.194 ms | 0 - 86 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 65.442 ms | 35 - 168 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperEncoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 78.74 ms | 18 - 54 MB | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperEncoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 42.372 ms | 1 - 249 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 52.212 ms | 50 - 450 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperEncoderInf | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 34.517 ms | 0 - 242 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 44.148 ms | 49 - 416 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperEncoderInf | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 51.084 ms | 51 - 51 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperEncoderInf | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 65.846 ms | 67 - 67 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperDecoderInf | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 6.39 ms | 3 - 96 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 4.048 ms | 10 - 60 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 4.145 ms | 3 - 91 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 2.782 ms | 9 - 64 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 3.568 ms | 3 - 40 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 2.172 ms | 1 - 17 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 4.599 ms | 3 - 96 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 2.881 ms | 10 - 59 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 6.39 ms | 3 - 96 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 4.048 ms | 10 - 60 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 3.649 ms | 3 - 44 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 2.108 ms | 10 - 30 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 4.735 ms | 3 - 88 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 3.07 ms | 1 - 47 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 3.56 ms | 3 - 39 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 2.217 ms | 10 - 30 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 4.599 ms | 3 - 96 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 2.881 ms | 10 - 59 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 3.654 ms | 3 - 35 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 2.119 ms | 1 - 21 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 3.972 ms | 0 - 91 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperDecoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.769 ms | 0 - 102 MB | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.tflite) |
| WhisperDecoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 1.685 ms | 0 - 62 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.018 ms | 26 - 109 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperDecoderInf | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 1.35 ms | 1 - 54 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 2.708 ms | 2 - 193 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |
| WhisperDecoderInf | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 2.112 ms | 166 - 166 MB | NPU | [Whisper-Tiny-En.dlc](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.dlc) |
| WhisperDecoderInf | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.469 ms | 74 - 74 MB | NPU | [Whisper-Tiny-En.onnx](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/Whisper-Tiny-En.onnx) |




## Installation


Install the package via pip:
```bash
pip install "qai-hub-models[whisper-tiny-en]"
```


## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device

Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.

With this API token, you can configure your client to run models on the cloud
hosted devices.
```bash
qai-hub configure --api_token API_TOKEN
```
Navigate to [docs](https://app.aihub.qualcomm.com/docs/) for more information.



## Demo off target

The package contains a simple end-to-end demo that downloads pre-trained
weights and runs this model on a sample input.

```bash
python -m qai_hub_models.models.whisper_tiny_en.demo
```

The above demo runs a reference implementation of pre-processing, model
inference, and post processing.

**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
environment, please add the following to your cell (instead of the above).
```
%run -m qai_hub_models.models.whisper_tiny_en.demo
```


### Run model on a cloud-hosted device

In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
device. This script does the following:
* Performance check on-device on a cloud-hosted device
* Downloads compiled assets that can be deployed on-device for Android.
* Accuracy check between PyTorch and on-device outputs.

```bash
python -m qai_hub_models.models.whisper_tiny_en.export
```



## How does this work?

This [export script](https://aihub.qualcomm.com/models/whisper_tiny_en/qai_hub_models/models/Whisper-Tiny-En/export.py)
leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
on-device. Lets go through each step below in detail:

Step 1: **Compile model for on-device deployment**

To compile a PyTorch model for on-device deployment, we first trace the model
in memory using the `jit.trace` and then call the `submit_compile_job` API.

```python
import torch

import qai_hub as hub
from qai_hub_models.models.whisper_tiny_en import Model

# Load the model
torch_model = Model.from_pretrained()

# Device
device = hub.Device("Samsung Galaxy S24")

# Trace model
input_shape = torch_model.get_input_spec()
sample_inputs = torch_model.sample_inputs()

pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])

# Compile model on a specific device
compile_job = hub.submit_compile_job(
    model=pt_model,
    device=device,
    input_specs=torch_model.get_input_spec(),
)

# Get target model to run on-device
target_model = compile_job.get_target_model()

```


Step 2: **Performance profiling on cloud-hosted device**

After compiling models from step 1. Models can be profiled model on-device using the
`target_model`. Note that this scripts runs the model on a device automatically
provisioned in the cloud.  Once the job is submitted, you can navigate to a
provided job URL to view a variety of on-device performance metrics.
```python
profile_job = hub.submit_profile_job(
    model=target_model,
    device=device,
)
        
```

Step 3: **Verify on-device accuracy**

To verify the accuracy of the model on-device, you can run on-device inference
on sample input data on the same cloud hosted device.
```python
input_data = torch_model.sample_inputs()
inference_job = hub.submit_inference_job(
    model=target_model,
    device=device,
    inputs=input_data,
)
    on_device_output = inference_job.download_output_data()

```
With the output of the model, you can compute like PSNR, relative errors or
spot check the output with expected output.

**Note**: This on-device profiling and inference requires access to Qualcomm®
AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).




## Deploying compiled model to Android


The models can be deployed using multiple runtimes:
- TensorFlow Lite (`.tflite` export): [This
  tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
  guide to deploy the .tflite model in an Android application.


- QNN (`.so` export ): This [sample
  app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
provides instructions on how to use the `.so` shared library  in an Android application.


## View on Qualcomm® AI Hub
Get more details on Whisper-Tiny-En's performance across various devices [here](https://aihub.qualcomm.com/models/whisper_tiny_en).
Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)


## License
* The license for the original implementation of Whisper-Tiny-En can be found
  [here](https://github.com/openai/whisper/blob/main/LICENSE).
* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)



## References
* [Robust Speech Recognition via Large-Scale Weak Supervision](https://cdn.openai.com/papers/whisper.pdf)
* [Source Model Implementation](https://github.com/openai/whisper/tree/main)



## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:[email protected]).