File size: 1,747 Bytes
798e40d cbba535 ce28028 798e40d cbba535 798e40d cbba535 798e40d cbba535 798e40d cbba535 798e40d cbba535 798e40d cbba535 798e40d cbba535 798e40d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | import argparse
import os
from whisper_ax import Whisper
import time
def get_args():
parser = argparse.ArgumentParser(
prog="whisper", description="Run Whisper on input audio file"
)
parser.add_argument("--wav", "-w", type=str, required=True, help="Input audio file")
parser.add_argument(
"--model_type",
"-t",
type=str,
choices=["tiny", "base", "small", "large", "large-v3", "turbo"],
required=True,
help="model type, only support tiny, base and small currently",
)
parser.add_argument(
"--model_path",
"-p",
type=str,
required=False,
default="../models-ax650",
help="model path for *.axmodel, tokens.txt",
)
parser.add_argument(
"--language",
"-l",
type=str,
required=False,
default="zh",
help="Target language, support en, zh, ja, and others. See languages.py for more options.",
)
parser.add_argument(
"--task",
type=str,
required=False,
choices=["translate", "transcribe"],
default="transcribe",
)
return parser.parse_args()
def main():
args = get_args()
print(vars(args))
# Check wav existence
wav_path = args.wav
assert os.path.exists(wav_path), f"{wav_path} NOT exist"
model = Whisper(args.model_type, args.model_path, args.language, args.task)
print("ASR result:")
start = time.time()
print(model.run(wav_path))
end = time.time()
import librosa
samples, sr = librosa.load(wav_path, sr=16000)
duration = len(samples) / sr
process_time = end - start
print(f"RTF: {process_time / duration}")
if __name__ == "__main__":
main()
|