ComfyUI Node: Music - Master Audio Enhancement

Music - Master Audio Enhancement:

The Music_MasterAudioEnhancement node is designed to elevate the quality of audio tracks by applying a series of sophisticated audio processing techniques. This node is particularly beneficial for AI artists and audio engineers who seek to enhance the clarity, loudness, and overall quality of their audio productions. By utilizing advanced methods such as parametric equalization, clarity enhancement, and AI-driven enhancements, this node ensures that your audio outputs are polished and professional. The primary goal of this node is to provide a comprehensive audio enhancement solution that addresses common audio issues such as noise, imbalance, and lack of clarity, making it an essential tool for anyone looking to refine their audio content.

Music - Master Audio Enhancement Input Parameters:

audio

The audio parameter represents the audio data that you wish to enhance. It is the primary input for the node and should be provided in a format compatible with the node's processing capabilities. This parameter is crucial as it serves as the foundation upon which all enhancements are applied.

sample_rate

The sample_rate parameter specifies the number of samples per second in the audio data. It is important for ensuring that the audio processing is applied correctly and that the output maintains the desired quality. Typical values range from 44,100 Hz to 48,000 Hz, with 44,100 Hz being a common default.

eq_low_gain

The eq_low_gain parameter controls the gain applied to the low-frequency band during parametric equalization. Adjusting this parameter can enhance or reduce the bass frequencies in the audio, with typical values ranging from -12 dB to +12 dB. The default is usually set to 0 dB for a neutral effect.

eq_mid_gain

The eq_mid_gain parameter adjusts the gain for the mid-frequency band. This is useful for enhancing the presence and clarity of vocals and instruments. Like the low gain, it typically ranges from -12 dB to +12 dB, with a default of 0 dB.

eq_high_gain

The eq_high_gain parameter affects the high-frequency band, allowing you to enhance or reduce treble frequencies. This can add brightness or reduce harshness in the audio. The range is usually -12 dB to +12 dB, with a default of 0 dB.

clarity_amount

The clarity_amount parameter determines the extent of clarity enhancement applied to the audio. This involves transient shaping and harmonic excitation to improve the audio's presence and detail. Values typically range from 0.0 (no enhancement) to 1.0 (maximum enhancement), with a default around 0.5.

target_loudness

The target_loudness parameter sets the desired loudness level for the output audio. This is important for ensuring consistent volume levels across different audio tracks. The parameter is usually expressed in LUFS (Loudness Units relative to Full Scale), with common targets being -14 LUFS to -23 LUFS.

denoise_mode

The denoise_mode parameter specifies the type of noise reduction to apply. Options include "Hiss Only" for reducing high-frequency noise and "Full Denoise" for comprehensive noise reduction. The default is often "Hiss Only" for minimal impact on the audio's natural characteristics.

denoise_intensity

The denoise_intensity parameter controls the strength of the noise reduction process. It ranges from 0.0 (no denoising) to 1.0 (maximum denoising), with a default value around 0.5 to balance noise reduction with audio quality preservation.

ai_enhance

The ai_enhance parameter is a boolean that enables or disables AI-driven audio enhancement using advanced models like MetricGAN+. When set to true, the node applies AI techniques to further improve audio quality.

ai_mix

The ai_mix parameter determines the blend between the original and AI-enhanced audio. It ranges from 0.0 (original audio only) to 1.0 (AI-enhanced audio only), with a default of 0.6 for a balanced mix.

vocal_enhance

The vocal_enhance parameter is a boolean that, when enabled, applies specific enhancements to improve vocal clarity and presence in the audio.

deesser_amount

The deesser_amount parameter controls the reduction of sibilance in vocal tracks. It ranges from 0.0 (no de-essing) to 1.0 (maximum de-essing), with a default around 0.5 to effectively reduce harsh sibilant sounds.

breath_smooth

The breath_smooth parameter adjusts the smoothing of breath sounds in vocal tracks. It ranges from 0.0 (no smoothing) to 1.0 (maximum smoothing), with a default of 0.3 to maintain natural vocal characteristics.

reverb_amount

The reverb_amount parameter sets the level of reverb applied to the audio, adding a sense of space and depth. It ranges from 0.0 (no reverb) to 1.0 (maximum reverb), with a default of 0.2 for subtle enhancement.

naturalize_vocal

The naturalize_vocal parameter adjusts the processing to maintain the natural quality of vocals. It ranges from 0.0 (no naturalization) to 1.0 (maximum naturalization), with a default of 0.5 to balance enhancement with natural sound.

Music - Master Audio Enhancement Output Parameters:

enhanced_audio

The enhanced_audio parameter is the primary output of the node, representing the processed audio data. This output reflects all the enhancements applied, including noise reduction, equalization, and AI-driven improvements, resulting in a polished and professional audio track.

Music - Master Audio Enhancement Usage Tips:

• To achieve a balanced audio output, start with moderate settings for EQ gains and clarity enhancement, and adjust based on the specific needs of your audio track.
• Utilize the AI enhancement feature for tracks that require significant quality improvement, but ensure to adjust the ai_mix parameter to maintain a natural sound.
• When working with vocal tracks, enable vocal_enhance and fine-tune the deesser_amount and breath_smooth parameters to achieve clear and natural-sounding vocals.

Music - Master Audio Enhancement Common Errors and Solutions:

AI Enhance failed: <error_message>

• Explanation: This error occurs when the AI enhancement process encounters an issue, possibly due to incompatible audio format or processing limitations.
• Solution: Ensure that the audio input is in a supported format and try reducing the ai_mix value. If the problem persists, consider disabling AI enhancement.

Denoise failed: <error_message>

• Explanation: This error indicates a failure in the noise reduction process, which may be due to incorrect settings or unsupported audio characteristics.
• Solution: Verify the denoise_mode and denoise_intensity settings. Try using a lower intensity or switching to "Hiss Only" mode for less aggressive noise reduction.