def decode(self):
        """
        Decodes the input audio data using the loaded model and ensures the output matches the original audio length.

        This method processes the audio through a speech model (e.g., for enhancement, separation, etc.),
        and truncates the resulting audio to match the original input's length. The method supports multiple speakers 
        if the model handles multi-speaker audio.

        Returns:
        output_audio: The decoded audio after processing, truncated to the input audio length. 
                  If multi-speaker audio is processed, a list of truncated audio outputs per speaker is returned.
        """
        # Decode the audio using the loaded model on the given device (e.g., CPU or GPU)
        output_audios = []
        for i in range(len(self.data['audio'])):
            output_audio = decode_one_audio(self.model, self.device, self.data['audio'][i], self.args)
            # Ensure the decoded output matches the length of the input audio
            if isinstance(output_audio, list):
                # If multi-speaker audio (a list of outputs), truncate each speaker's audio to input length
                for spk in range(self.args.num_spks):
                    output_audio[spk] = output_audio[spk][:self.data['audio_len']]
            else:
                # Single output, truncate to input audio length
                output_audio = output_audio[:self.data['audio_len']]
            output_audios.append(output_audio)
            
        if isinstance(output_audios[0], list):
            output_audios_np = []
            for spk in range(self.args.num_spks):
                output_audio_buf = []
                for i in range(len(output_audios)):
                    output_audio_buf.append(output_audios[i][spk])
                    #output_audio_buf = np.vstack((output_audio_buf, output_audios[i][spk])).T
                output_audios_np.append(np.array(output_audio_buf))
        else:
            output_audios_np = np.array(output_audios)
        return output_audios_np

        Decodes the input audio data using the loaded model and ensures the output matches the original audio length.

        This method processes the audio through a speech model (e.g., for enhancement, separation, etc.),
        and truncates the resulting audio to match the original input's length. The method supports multiple speakers 
        if the model handles multi-speaker audio.

        Returns:
        output_audio: The decoded audio after processing, truncated to the input audio length. 
                  If multi-speaker audio is processed, a list of truncated audio outputs per speaker is returned.
        
clearvoice/clearvoice/networks.py