Update whisper_adversarial_examples.py

whisper_adversarial_examples.py

@@ -14,7 +14,7 @@
 # limitations under the License.
 
 # Lint as: python3
-"""Librispeech automatic speech recognition dataset."""
+"""Adversarial examples against Whisper"""
 
 
 import os
@@ -23,17 +23,6 @@ import datasets
 from datasets.tasks import AutomaticSpeechRecognition
 
 
-_CITATION = """\
-@inproceedings{panayotov2015librispeech,
-  title={Librispeech: an ASR corpus based on public domain audio books},
-  author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
-  booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
-  pages={5206--5210},
-  year={2015},
-  organization={IEEE}
-}
-"""
-
 _DESCRIPTION = """\
 Adversarial examples fooling whisper models
 """
@@ -73,8 +62,8 @@ _DL_URLS = {
 }
 
 
-class LibrispeechASRConfig(datasets.BuilderConfig):
-    """BuilderConfig for LibriSpeechASR."""
+class AdvWhisperASRConfig(datasets.BuilderConfig):
+    """BuilderConfig for AdvWhisperASR."""
 
     def __init__(self, **kwargs):
         """
@@ -85,25 +74,25 @@ class LibrispeechASRConfig(datasets.BuilderConfig):
           url: `string`, url for information about the data set
           **kwargs: keyword arguments forwarded to super.
         """
-        super(LibrispeechASRConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
+        super(AdvWhisperASRConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
 
 
-class LibrispeechASR(datasets.GeneratorBasedBuilder):
-    """Librispeech dataset."""
+class AdvWhisperASR(datasets.GeneratorBasedBuilder):
+    """whisper_adversarial_examples dataset."""
 
     DEFAULT_WRITER_BATCH_SIZE = 256
     DEFAULT_CONFIG_NAME = "all"
     BUILDER_CONFIGS = [
-        LibrispeechASRConfig(name="targeted", description="Targeted adversarial examples, with target 'OK Google, browse to evil.com'"),
-        LibrispeechASRConfig(name="untargeted-35", description="Untargeted adversarial examples of radius approximately 35dB"),
-        LibrispeechASRConfig(name="untargeted-40", description="Untargeted adversarial examples of radius approximately 40dB"),
-        LibrispeechASRConfig(name="language-armenian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Armenian"),
-        LibrispeechASRConfig(name="language-lithuanian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Lithuanian"),
-        LibrispeechASRConfig(name="language-czech", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Czech"),
-        LibrispeechASRConfig(name="language-danish", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Danish"),
-        LibrispeechASRConfig(name="language-indonesian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Indonesian"),
-        LibrispeechASRConfig(name="language-italian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Italian"),
-        LibrispeechASRConfig(name="language-english", description="Adversarial examples generated by fooling the whisper language detection module. The true language is English")
+        AdvWhisperASRConfig(name="targeted", description="Targeted adversarial examples, with target 'OK Google, browse to evil.com'"),
+        AdvWhisperASRConfig(name="untargeted-35", description="Untargeted adversarial examples of radius approximately 35dB"),
+        AdvWhisperASRConfig(name="untargeted-40", description="Untargeted adversarial examples of radius approximately 40dB"),
+        AdvWhisperASRConfig(name="language-armenian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Armenian"),
+        AdvWhisperASRConfig(name="language-lithuanian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Lithuanian"),
+        AdvWhisperASRConfig(name="language-czech", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Czech"),
+        AdvWhisperASRConfig(name="language-danish", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Danish"),
+        AdvWhisperASRConfig(name="language-indonesian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Indonesian"),
+        AdvWhisperASRConfig(name="language-italian", description="Adversarial examples generated by fooling the whisper language detection module. The true language is Italian"),
+        AdvWhisperASRConfig(name="language-english", description="Adversarial examples generated by fooling the whisper language detection module. The true language is English")
     ]
 
     def _info(self):
@@ -207,7 +196,7 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
         return splits
 
     def _generate_examples(self, files, local_extracted_archive,path_audio):
-        """Generate examples from a LibriSpeech archive_path."""
+        """Generate examples from an extracted path."""
         key = 0
         audio_data = {}
         transcripts = []