kotoba-whisper-v2.2-coreml – AI Model by yslinear | AlphaNeural AI

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yslinear/
kotoba-whisper-v2.2-coreml

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speech-recognition

automatic-speech-recognition

kotoba-tech/kotoba-whisper-v2.2

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kotoba-whisper-v2.2 CoreML

This is the CoreML conversion of kotoba-tech/kotoba-whisper-v2.2 for use with WhisperKit.

Model Details

Included Files

File	Description	ANE Support
`AudioEncoder.mlmodelc`	Audio feature encoder	100%
`TextDecoder.mlmodelc`	Text decoder	98%
`MelSpectrogram.mlmodelc`	Mel spectrogram converter	72%

Usage with WhisperKit

swift

import WhisperKit

let whisperKit = try await WhisperKit(
    modelFolder: "path/to/kotoba-tech_kotoba-whisper-v2.2"
)

let result = try await whisperKit.transcribe(
    audioPath: "path/to/audio.wav",
    language: "ja"
)

Notes

This is a distilled model with only 2 decoder layers (vs 32 in the original Whisper large model)
Token-level timestamps are disabled due to alignment heads configuration incompatibility with the distilled architecture

License

This model is released under the Apache License 2.0, following the original model's license.

Attribution

This is a derivative work based on:

Acknowledgments