funasr/datasets/large_datasets/dataset.py
@@ -135,7 +135,8 @@ speed = random.choice(self.speed_perturb) if speed != 1.0: mat, _ = torchaudio.sox_effects.apply_effects_tensor( mat, sampling_rate, [['speed', str(speed)], ['rate', str(sampling_rate)]]) torch.tensor(mat).view(1, -1), sampling_rate, [['speed', str(speed)], ['rate', str(sampling_rate)]]) mat = mat.view(-1).numpy() sample_dict[data_name] = mat sample_dict["sampling_rate"] = sampling_rate if data_name == "speech":
