Desktop Apps

Finally we found some time to collect a few listening examples for our audio algorithms – thanks to all the people who provided audio files!
Everything is processed automatically and you can try Auphonic yourself with the unprocessed files and will get the same results.

The official Auphonic Audio Example page is here: Audio Examples.
We will extend this page with further examples, so let us know if you have some great ones!

Listen to the following examples with headphones to hear all details.

Global Loudness Normalization

Our Global Loudness Normalization Algorithms calculate the loudness of your audio and apply a constant gain to reach a defined target level in LUFS, so that all your processed files have the same average loudness.
The loudness is calculated according to latest broadcast standards and Auphonic supports loudness targets for television (EBU R128, ATSC A/85), radio and mobile. See Audio Loudness Measurement and Normalization and Loudness Targets for Mobile Audio, Podcasts, Radio and TV for detailed information.
The following example is an unprocessed studio recording from Undsoversity and demonstrates various loudness targets from quiet to loud.

1. Unprocessed Audio:
2. Television US (ATSC A/85), -24 LUFS (no gate):
3. Television Europe (EBU R128), -23 LUFS:
4. Similar to ReplayGain, -18 LUFS:
5. Mobile Audio (similar to Sound Check), -16 LUFS:

Adaptive Leveler

The Auphonic Adaptive Leveler corrects level differences between speakers, between music and speech and applies dynamic range compression to achieve a balanced overall loudness. In contrast to our Global Loudness Normalization Algorithms, which correct loudness differences between files, the Adaptive Leveler corrects loudness differences between segments in one file.
For more details see Loudness Normalization and Compression .

We analyze your audio to classify speech, music and background segments and process them individually:
  • Quiet speakers are amplified in speech segments to achieve equal levels between speakers.
  • Music segments are processed with care: the overall loudness will be comparable to speech, but we won't change the natural dynamics of your music as much as in speech segments.
  • Background segments (noise, wind, breathing, etc.) won't be amplified as much as speech or music.
  • Compressors and limiters are applied automatically to get a balanced, final mix.

The following example is a recording with the internal microphone of a mobile phone (Samsung Google Galaxy Nexus). The Adaptive Leveler will apply dynamic range compression, will amplify quiet speech and balance the volume between music and speech. Furthermore our Noise Reduction Algorithms will remove all broadband background noise.

1. Unprocessed Audio:
2. Processed with Adaptive Leveler (no Noise Reduction):
3. Processed with Adaptive Leveler and 100dB Noise Reduction:

Noise and Hiss Reduction

Our Noise Reduction Algorithms remove broadband background noise and hiss in audio files with slowly varying backgrounds. First the audio file is segmented in regions with different background noise characteristics, then a noise print is extracted in each region and removed from the audio signal.
For optimal performance, leave the noise as natural and constant as it is and do not use noise gates, excessive dynamic range compression or automatic gain control (for example in skype or on camcorders)!

The first Noise Reduction audio example is a recording by James Schramko with broadband background noise. Listen with headphones to hear all details!

Example 1, Unprocessed Audio:
Example 1, Processed with Noise and Hum Reduction (100dB Reduction Amount):

The second example is a short excerpt from the Newz of the World podcast with fans and brodband noise in the background.

Example 2, Unprocessed Audio:
Example 2, Processed with Noise and Hum Reduction (100dB Reduction Amount):

Hum Reduction

The Auphonic Hum Reduction Algorithms (included in Noise and Hum Reduction) will identify power line hum and all its partials. Afterwards the partials are removed as necessary with sharp filters and broadband noise reduction.
The following audio example by FMC contains a 60Hz power line hum with many partials (120Hz, 180Hz, 240Hz, 300Hz, etc.).

1. Unprocessed Audio:
2. Processed with Noise and Hum Reduction (100dB Reduction Amount):


Try our Algorithms with your own Audio Files!



Similar entries