Create benchmark.sh
Browse files- benchmark.sh +9 -0
benchmark.sh
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# clone dataset
|
| 2 |
+
git clone https://huggingface.co/datasets/kotoba-tech/kotoba-whisper-eval
|
| 3 |
+
# convert to 16khz
|
| 4 |
+
ffmpeg -i kotoba-whisper-eval/audio/long_interview_1.mp3 -ar 16000 -ac 1 -c:a pcm_s16le kotoba-whisper-eval/audio/long_interview_1.wav
|
| 5 |
+
ffmpeg -i kotoba-whisper-eval/audio/manzai1.mp3 -ar 16000 -ac 1 -c:a pcm_s16le kotoba-whisper-eval/audio/manzai1.wav
|
| 6 |
+
ffmpeg -i kotoba-whisper-eval/audio/manzai2.mp3 -ar 16000 -ac 1 -c:a pcm_s16le kotoba-whisper-eval/audio/manzai2.wav
|
| 7 |
+
ffmpeg -i kotoba-whisper-eval/audio/manzai3.mp3 -ar 16000 -ac 1 -c:a pcm_s16le kotoba-whisper-eval/audio/manzai3.wav
|
| 8 |
+
# run the benchmark
|
| 9 |
+
python benchmark.py
|