Whisper.jl

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Implementation of OpenAI Whisper model based on whisper.cpp

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## Whisper

[![Build Status](https://github.com/aviks/Whisper.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/aviks/Whisper.jl/actions/workflows/CI.yml?query=branch%3Amain)

Whisper.jl is a Julia package for automatic speech recognition, based on [OpenAI's Whisper](https://github.com/openai/whisper) model. This package wraps the [whisper.cpp](https://github.com/ggerganov/whisper.cpp) code, which is a C/C++ implementation of the model. It uses the model weights which were published by OpenAI. The weights are downloaded on demand.

### Quick Start Guide

The `transcribe` function is the simplest way to run speech recognition on an 
audio signal. It takes as input the model name, and a float32 array with the sound signal. 
The signal is expected to be sampled at 16kHz.

```julia
using Whisper, LibSndFile, FileIO, SampledSignals

s = load("/path/to/audio_file.ogg")

# Whisper expects 16kHz sample rate and Float32 data
sout = SampleBuf(Float32, 16000, round(Int, length(s)*(16000/samplerate(s))), nchannels(s))  
write(SampleBufSink(sout), SampleBufSource(s))  # Resample

if nchannels(sout) == 1
    data  = sout.data
elseif nchannels(sout) == 2
    sd = sout.data
    data = [sd[i,1] + sd[i,2] for i in 1:size(sd)[1]] #convert stereo to mono
end

result = transcribe("base.en", data)
```

For more control, the [whisper.cpp C interface](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h) is available within the [`Whisper.LibWhisper` module](https://github.com/aviks/Whisper.jl/blob/main/src/LibWhisper.jl).

### Models

The following models are available, and should be referenced by name. The models with the `.en` suffix are specialised for the english language.

| Model               | Disk   | Mem     |
| ---                 | ---    | ---     | 
| tiny / tiny.en      |  75 MB | ~125 MB |
| base / base.en      | 142 MB | ~210 MB | 
| small / small.en    | 466 MB | ~600 MB |
| medium / medium.en  | 1.5 GB | ~1.7 GB | 
| large-v1 / large.en | 2.9 GB | ~3.3 GB |

### TODO

The biggest missing functionality is a streaming interface.

Whisper.jl

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