---
license: mit
tags:
- code
- audio
- acceleration
- network
---
## Overview

This is an implementation of whisper from scratch in C++.
This is a proof-of-concept. Further modifications, imporvements are coming.

Feedbacks are wellcomed in the corresponding github repository, [precompAId](https://github.com/anycores/precompAId).

Binary contains:
* exe for testing the app quickly
* header and dll for building custom solutions
* main.cpp as an example, how to use the header (the exe compiled from this)
* weights.xdf (required to load into the graph, no other input required)
* audios folder, containing examples to try the application
* convert.py for creating the right input for the application from and arbitrary audio file

Versions:
* for windows there are 4 compiled versions
* all versions corresponds to the level of available instruction sets
* avx512: requires avx512F, avx512BW, avx512VL and FMA
* avx2: requires avx2 and FMA
* sse: requires sse4.1
* default: requires no intrinsic related cpu features


## Quick start

Example for the usage of whisper.exe (dll should be discoverable by the exe):
```
whisper.exe weights.xgdf audios\voice_example1.pb
```

Example compilation (with clang from the root):
```
clang++ main.cpp win64\whisper.lib -o whisper.exe
```

Example for converting:
```
python convert.py --ipath audios\voice_example_orig1.wav --opath voice_example.pb
```

## Implementation info

Tested on:
* windows 11 and ubuntu20
* intel i7 11th gen
* clang 16.06 as compiler

Current properties:
* fp32
* [this tool](https://github.com/archspec/archspec) can help enlisting the available cpu features for selecting the right library version

## Further Notes

Improved versions will arrive regularly.
Feedbacks are wellcomed. Especially the following:
* features to be add (input format, expected output format etc.)
* devices (plan to extend for mobiles, IPUs etc.)
* models (what other models would be great to accelerate)