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Enhances audio quality through cleaning, normalization, resampling, stereo conversion, and amplitude normalization for AI artists.
The VRGDG_CleanAudio node is designed to enhance the quality of audio files by performing a series of cleaning and normalization processes. This node is particularly useful for AI artists who work with audio data and need to ensure that their audio inputs are of high quality and consistent format. The primary goal of this node is to prepare audio files for further processing or analysis by resampling them to a standard frequency, converting them to stereo, and normalizing their amplitude. By doing so, it ensures that the audio is free from unwanted noise and is in a format that is compatible with various audio processing tools. This node is essential for maintaining audio integrity and ensuring that subsequent audio processing tasks are performed on clean and standardized audio data.
The audio parameter is the primary input for the VRGDG_CleanAudio node. It accepts audio data in the form of a dictionary containing the waveform and sample rate, or as a tuple of waveform and sample rate. The waveform represents the audio signal, while the sample rate indicates the number of samples per second. This parameter is crucial as it determines the initial state of the audio data that will be processed. The node will resample the audio to a target sample rate of 48 kHz, convert it to stereo if necessary, and normalize its amplitude to ensure consistency and quality. There are no specific minimum or maximum values for this parameter, as it is dependent on the input audio file.
The cleaned_audio parameter is the output of the VRGDG_CleanAudio node. It provides the processed audio data that has been cleaned and normalized. This output is crucial for ensuring that the audio is in a standardized format, making it suitable for further processing or analysis. The cleaned audio will have a sample rate of 48 kHz, be in stereo format, and have its amplitude normalized to a 16-bit PCM range. This ensures that the audio is free from noise and is compatible with various audio processing tools, providing a high-quality audio output for AI artists to work with.
waveform and sample_rate, or as a tuple containing both elements.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.