Files
mlx-examples/whisper
Dimo ccd69f70ed [Whisper] Large-v3 requires 128 Mel frequency bins (#193)
* Large-v3 requires 128 Mel frequency bins

* extract correct model dimensions and use argparse

* format

* format

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Co-authored-by: Awni Hannun <awni@apple.com>
2023-12-28 13:50:35 -08:00
..
2023-12-20 10:22:25 -08:00

Whisper

Speech recognition with Whisper in MLX. Whisper is a set of open source speech recognition models from OpenAI, ranging from 39 million to 1.5 billion parameters1 .

Setup

First, install the dependencies.

pip install -r requirements.txt

Install ffmpeg:

# on macOS using Homebrew (https://brew.sh/)
brew install ffmpeg

Run

Transcribe audio with:

import whisper

text = whisper.transcribe(speech_file)["text"]

  1. Refer to the arXiv paper, blog post, and code for more details. ↩︎