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import torch
import csv
from transformers import pipeline
import os
import librosa
from itertools import islice
OVER_SIZE_LIMIT = 200_000_000
csv.field_size_limit(OVER_SIZE_LIMIT)
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
generate_kwargs = {
"language": "Japanese",
"no_repeat_ngram_size": 0,
"repetition_penalty": 1.0,
}
pipe = pipeline(
"automatic-speech-recognition",
model="litagin/anime-whisper",
device="cuda",
torch_dtype=torch.float16,
chunk_length_s=30.0,
batch_size=64,
)
# CSVファイルの準備
csv_file = r"C:\Users\user\Pictures\speech_recognition_results.csv"
# transcript.csvからデータを読み込む
transcripts = {}
with open(r"C:\Users\user\Pictures\transcript.csv", mode="r", encoding="utf-8") as file:
reader = csv.DictReader(file)
for row in reader:
transcripts[row["filename"]] = row["transcript"]
audio_dir = r"C:\Users\user\Pictures\dataset_converted"
audio_files = os.listdir(audio_dir)
# CSV から既に処理されたファイル名を取得
processed_files = set()
if os.path.exists(csv_file):
with open(csv_file, mode="r", encoding="utf-8") as file:
reader = csv.DictReader(file)
for row in reader:
processed_files.add(row["Filename"])
# 処理を開始
batch_size = 256 # バッチサイズ
with open(csv_file, mode="a", newline="", encoding="utf-8") as file:
writer = csv.writer(file)
# ヘッダーがない場合は書き込む
if not processed_files:
writer.writerow(["Filename", "True", "ASR"])
# 未処理ファイルをフィルタリング
unprocessed_files = [
f for f in audio_files if f in transcripts and f not in processed_files
]
# バッチ処理
for i in range(0, len(unprocessed_files), batch_size):
batch_files = unprocessed_files[i : i + batch_size]
audio_paths = [os.path.join(audio_dir, f) for f in batch_files]
# 音声ファイルを読み込み
audios = []
for audio_path in audio_paths:
y, sr = librosa.load(audio_path, sr=16000)
audios.append(y)
# ASR パイプラインを使ってバッチ処理
results = pipe(audios, generate_kwargs=generate_kwargs)
# CSVに結果を保存
for audio_file, result in zip(batch_files, results):
asr_result = result["text"]
true_text = transcripts[audio_file]
writer.writerow([audio_file, true_text, asr_result])
print("Filename:", audio_file)
print("True:", true_text)
print("ASR :", asr_result)
print()
print(f"結果は {csv_file} に保存されました。")
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