Whisper Speech-Recognition Model

Whisper Model Overview

Whisper is an open-source speech-recognition model from OpenAI that converts speech into text. MaixCAM2 currently supports the base version for Chinese and English.

Download the Model

Follow the Large Model User Guide to download and extract the model.

Run the Model with MaixPy

Prepare a mono WAV file sampled at 16 kHz. Mono means one audio channel; 16 kHz means 16,000 samples per second.

Make sure the model and audio paths match their actual locations on the device, then run:

from maix import nn

whisper = nn.Whisper(
    model="/root/models/whisper-base/whisper-base.mud",
    language="en",
)

wav_path = "/maixapp/share/audio/demo.wav"
text = whisper.transcribe(wav_path)
print("result:", text)

Use language="zh" for Chinese or language="en" for English. If a file-not-found error appears, check both the .mud model path and WAV audio path.