language: ja
tags:
- audio
- automatic-speech-recognition
license: apache-2.0
Kotoba-Whisper: kotoba-whisper-v1.0 for Whisper cpp
This repository contains the model weights for kotoba-tech/kotoba-whisper-v1.0 converted to GGML format. GGML is the weight format expected by C/C++ packages such as Whisper.cpp, for which we provide an example below.
Usage
Kotoba-Whisper can be run with the Whisper.cpp package with the original sequential long-form transcription algorithm.
Steps for getting started:
- Clone the Whisper.cpp repository:
git clone https://github.com/ggerganov/whisper.cpp.git
cd whisper.cpp
- Download the GGML weights for
kotoba-tech/kotoba-whisper-v1.0:
wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/ggml-kotoba-whisper-v1.0.bin -P ./models
- Run inference using the provided sample audio:
wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/sample_ja_speech.wav
make -j && ./main -m models/ggml-kotoba-whisper-v1.0.bin -f sample_ja_speech.wav --output-file transcription --output-json
Note that it runs only with 16-bit WAV files, so make sure to convert your input before running the tool. For example, you can use ffmpeg like this:
ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
Benchmark
We measure the inference speed with four different Japanese speech audio on MacBook Pro with the following spec:
- Apple M2 Pro
- 32GB
- 14-inch, 2023
- OS Sonoma Version 14.4.1 (23E224)
| audio duration (min) | inference time (sec) |
|---|---|
| 50.3 | 581 |
| 5.6 | 41 |
| 4.9 | 30 |
| 5.6 | 35 |
Quantized Model
To use the quantized model, download the quantized GGML weights:
wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/ggml-kotoba-whisper-v1.0-q5_0.bin -P ./models
Run inference on the sample audio:
make -j && ./main -m models/ggml-kotoba-whisper-v1.0-q5_0.bin -f sample_ja_speech.wav --output-file transcription.quantized --output-json
Note that the benchmark results are almost identical to the raw non-quantized model weight.
Model Details
For more information about the kotoba-whisper-v1.0, refer to the original model card.