init

tokenize_dataset_s2s.py

@@ -21,7 +21,7 @@ def tokenize(example):
     for side in sides:
         wav = torch.as_tensor(example[f"{side}.audio"]["array"].reshape(1, 1, -1))
         example[f"{side}.audio.tokens"] = tokenizer.wav_to_tokens(
-            wav=wav, sample_rate=[example[f"{side}.audio"]["sampling_rate"]]
+            wav=wav, sample_rate=example[f"{side}.audio"]["sampling_rate"]
         ).numpy().tolist()
     return example