diff --git a/beginner_source/audio_datasets_tutorial.py b/beginner_source/audio_datasets_tutorial.py
new file mode 100644
index 000000000..d1dcae85d
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+++ b/beginner_source/audio_datasets_tutorial.py
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+"""
+오디오 데이터셋
+==============
+
+**저자**: `Moto Hira <moto@meta.com>`__
+**번역**: `백승엽 <https://github.com/aromadsh>`__
+
+``torchaudio``는 공용으로 접근할 수 있는 일반적인 데이터셋에 쉽게 접근할 수 있는 기능을 제공합니다. 
+사용할 수 있는 데이터셋 목록은 공식 문서를 참고하세요. 
+"""
+
+import torch
+import torchaudio
+
+print(torch.__version__)
+print(torchaudio.__version__)
+
+######################################################################
+
+import os
+
+import IPython
+
+import matplotlib.pyplot as plt
+
+
+_SAMPLE_DIR = "_assets"
+YESNO_DATASET_PATH = os.path.join(_SAMPLE_DIR, "yes_no")
+os.makedirs(YESNO_DATASET_PATH, exist_ok=True)
+
+
+def plot_specgram(waveform, sample_rate, title="Spectrogram"):
+    waveform = waveform.numpy()
+
+    figure, ax = plt.subplots()
+    ax.specgram(waveform[0], Fs=sample_rate)
+    figure.suptitle(title)
+    figure.tight_layout()
+
+
+######################################################################
+# 
+# 여기서 :py:class:`torchaudio.datasets.YESNO` 데이터셋의 사용 방법을 볼 수 있습니다. 
+#
+
+dataset = torchaudio.datasets.YESNO(YESNO_DATASET_PATH, download=True)
+
+######################################################################
+#
+i = 1
+waveform, sample_rate, label = dataset[i]
+plot_specgram(waveform, sample_rate, title=f"Sample {i}: {label}")
+IPython.display.Audio(waveform, rate=sample_rate)
+
+######################################################################
+#
+i = 3
+waveform, sample_rate, label = dataset[i]
+plot_specgram(waveform, sample_rate, title=f"Sample {i}: {label}")
+IPython.display.Audio(waveform, rate=sample_rate)
+
+######################################################################
+#
+i = 5
+waveform, sample_rate, label = dataset[i]
+plot_specgram(waveform, sample_rate, title=f"Sample {i}: {label}")
+IPython.display.Audio(waveform, rate=sample_rate)
+
+i = 5
+waveform, sample_rate, label = dataset[i]
+plot_specgram(waveform, sample_rate, title=f"Sample {i}: {label}")
+IPython.display.Audio(waveform, rate=sample_rate)