Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

whisper-tiny-khmer-mlx-fp16 – AI Model by mlx-community | AlphaNeural AI

You can deploy this model and start earning money today!

mlx-community/
whisper-tiny-khmer-mlx-fp16

like

0

automatic-speech-recognition

seanghay/km-speech-corpus

seanghay/khmer_mwpt_speech

Views

No views yet

whisper-tiny-khmer-mlx-fp16

This model was converted to MLX format from openai-whisper-tiny, then fine-tined to Khmer language using two datasets:

seanghay/khmer_mpwt_speech
seanghay/km-speech-corpus

It achieves the following word error rate (wer) on 2 popular datasets:

80.2% on test split of google/fleurs km-kh
63.2% on train split of openslr/openslr SLR42

NOTE MLX format is usable for M-chip series of Apple.

Use with mlx

pip install mlx-whisper

Write a python script, example.py, as the following

python

import mlx_whisper

result = mlx_whisper.transcribe(
    SPEECH_FILE_NAME,
    path_or_hf_repo="mlx-community/whisper-tiny-khmer-mlx-fp16",
    fp16=True
)
print(result['text'])

Then execute this script example.py to see the result.

You can also use command line in terminal

mlx_whisper --model mlx-community/whisper-tiny-khmer-mlx-fp16 --task transcribe SPEECH_FILE_NAME --fp16 True