0093fa5762122466087782c75b698429776ad49e,open_seq2seq/models/text2speech.py,Text2Speech,finalize_inference,#Text2Speech#Any#Any#,341

Before Change

              save_format="disk"
          )

          dict_to_log["audio"] = wav_summary

After Change

        )

        if audio_length > 2:
          if "both" in self.get_data_layer().params["output_type"]:
            predicted_mag_spec = output_values[5][j][:audio_length - 1, :]
            wav_summary = save_audio(
                predicted_mag_spec,
                self.params["logdir"],
                0,
                n_fft=self.get_data_layer().n_fft,
                sampling_rate=self.get_data_layer().sampling_rate,
                mode="infer_mag",
                number=i * batch_size + j,
                save_format="disk",
            )
          predicted_final_spec = predicted_final_spec[:audio_length - 1, :]
          predicted_final_spec = self.get_data_layer().get_magnitude_spec(predicted_final_spec, is_mel=True)
          wav_summary = save_audio(
              predicted_final_spec,

Instances