Auphonic Leveler - Detailed Review

The Auphonic Leveler

The Auphonic Leveler is a sophisticated Desktop Batch Audio File Processor that leverages AI and machine learning to enhance and standardize audio files. Here are the main features and how they work:

Adaptive Leveler

The Adaptive Leveler is a core feature that corrects level differences between speakers, music, and speech within a single audio file. It uses machine learning techniques to classify segments of the audio into speech, music, and background noise. Here’s how it works:

• It amplifies quiet speakers in speech segments to achieve equal levels.
• Music segments are processed to match the overall loudness of speech without altering their natural dynamics.
• Background segments like noise, wind, and breathing are not amplified.

This feature is particularly useful for content where dialog or speech is prominent, such as podcasts, radio broadcasts, lectures, and conference recordings.

Loudness Normalization

This feature ensures that all processed audio files have the same average loudness. It calculates the loudness according to broadcast standards like ITU-R BS.1770 and applies a constant gain to reach a defined target level. You can set targets for various platforms, including television (EBU R128, ATSC A/85), radio, podcasts, and mobile devices. This ensures consistency across files and compliance with specific audio specifications.

True Peak Limiter

The True Peak Limiter prevents audio from exceeding a certain peak level, which is crucial for maintaining audio quality and preventing distortion. This feature is essential for ensuring that your audio meets the loudness standards required by different platforms and broadcasters.

Noise and Hum Reduction

Auphonic Leveler includes automatic noise and hum reduction algorithms. These algorithms use AI to detect and reduce static and fast-changing noises, allowing you to choose whether to eliminate ambient sounds or keep certain background noises. This feature helps in producing clean speech files by removing unwanted noises while preserving desired sounds.

High Pass Filter

The Adaptive High Pass Filter cuts unnecessary and disturbing low frequencies based on the context of the audio (speech, music, or noise). This helps in improving the clarity of the audio by removing unwanted low-frequency sounds.

Parallel Processing

The Auphonic Leveler allows for parallel processing of multiple files using a configurable CPU, RAM, and disk usage. You can drag and drop multiple audio files or folders into the program, and they will be processed simultaneously with your current settings. This feature significantly speeds up the processing time for large batches of audio files.

Presets and User Interface

You can save all your current settings, including audio algorithm parameters, output file options, intros/outros, warnings, and hardware settings, as presets. This makes it easy to apply consistent settings across different projects. The user interface includes an Audio Algorithms Box where you can enable or disable features like the Adaptive Leveler, High Pass Filter, and Noise and Hum Reduction, and select target loudness levels.

Compliance with Audio Standards

Auphonic Leveler allows you to define target parameters such as integrated loudness, true peak level, dialog normalization, MaxLRA, MaxM, and MaxS to ensure compliance with various audio specifications. This is particularly useful for meeting the admission criteria of different platforms like Audible, Netflix, Spotify, and podcast services.

Conclusion

In summary, the Auphonic Leveler leverages AI and machine learning to balance loudness, reduce noise, and ensure compliance with audio standards, making it an invaluable tool for audio professionals and content creators.