add text

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data/test_clean.tar.gz

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data/test_other.tar.gz

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data/train_clean_100.tar.gz

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librispeech-phones-and-mel.py

@@ -15,7 +15,7 @@ from PIL import Image
 
 logger = datasets.logging.get_logger(__name__)
 
-_VERSION = "0.0.1"
+_VERSION = "0.0.2"
 
 _CITATION = """\
 @inproceedings{panayotov2015librispeech,
@@ -76,6 +76,7 @@ class Librispeech(datasets.GeneratorBasedBuilder):
             "speaker_utterance": datasets.Value("string"),
             "mean_speaker_utterance": datasets.Value("string"),
             "mean_speaker": datasets.Value("string"),
+            "text": datasets.Value("string"),
         }
 
         return datasets.DatasetInfo(
@@ -105,6 +106,7 @@ class Librispeech(datasets.GeneratorBasedBuilder):
         overall_speaker_path = Path(str(mel_path).replace("_mel.png", "_speaker.npy"))
         temporal_speaker_path = Path(str(mel_path).replace("_mel.png", "_speaker.png"))
         mean_speaker_path = mel_path.parent.parent / "mean_speaker.npy"
+        text = Path(str(mel_path).replace("_mel.png", "_text.txt")).read_text().lower()
 
         speaker_id = mel_path.parent.parent.name
         chapter_id = mel_path.parent.name