Production

A production represents one processed audio or video file.
Click here to create a new production in our web system: https://auphonic.com/engine/upload/

Common settings and metadata for a group of productions (e.g a podcast series) can be stored in a Preset. You can select your preset when creating a new production.

Note

If you want to process multiple parallel tracks/files in one production, you can use a Multitrack Production instead!

Audio or Video Source

Select your main input audio or video source file.
You can upload the file directly in the browser, use an HTTP link or any supported External Services (FTP, Dropbox, S3, Google Drive, SFTP, WedDAV and many more - please register the service first).

Supported audio and video filetypes:
MP2, MP3, MP4, M4A, M4B, M4V, WAV, OGG, OGA, OPUS, FLAC, ALAC, MPG, MOV, AC3, EAC3, AIF, AIFC, AIFF, AIFFC, AU, GSM, CAF, IRCAM, AAC, MPG, SND, VOC, VORBIS, VOX, WAVPCM, WMA, ALAW, APE, CAF, MPC, MPC8, MULAW, OMA, RM, TTA, W64, SPX, 3PG, 3G2, 3GPP, 3GP, 3GA, TS, MUS, AVI, DV, FLV, IPOD, MATROSKA, WEBM, MPEG, OGV, VOB, MKV, MK3D, MKA, MKS, QT, MXF.
Please let us know if you need an additional format.

For lossy codecs like MP3, please use a bitrate of 192k or higher!

Intro and Outro

Automatically add an Intro/Outro to your production. Audio and video files are supported, with video files being limited to a length of 1 minute.

As intros/outros are intended to be used multiple times, they are only Loudness Normalized to match the loudness of your production without further Auphonic processing (no leveling, filtering, noise reduction, etc.). Therefore you should edit/process your intro/outro before.
For a detailed description of our intro/outro feature, please see the blog post Automatic Intros and Outros in Auphonic.

Select Intro File

Select your intro audio from a local file (in productions only), HTTP or an External Service (Dropbox, SFTP, S3, Google Drive, SoundCloud, etc. - please register the service first).
NOTE:
We store audio files only for a limited number of days, therefore you have to use intro/outro files in presets from HTTP or an External Service. In productions, you can upload intro/outro files directly.

Intro Overlap

Set overlap time in seconds of intro end with main audio file start, for details see Overlapping Intros/Outros.
IMPORTANT: ducking must be added manually to intro audio file!

Select Outro File

Select your outro audio from a local file, HTTP or an External Service
(Dropbox, SFTP, S3, Google Drive, SoundCloud, etc. - please register the service first).

Outro Overlap

Set overlap time in seconds of outro start with main audio file end, for details see Overlapping Intros/Outros.
IMPORTANT: ducking must be added manually to outro audio file!

Basic Metadata

Basic metadata (title, cover image, artist, album, track) for your production.
Metadata tags and cover images from input files will be imported automatically in empty fields!

We correctly map metadata to multiple Output Files.
For details see the following blog posts: ID3 Tags Metadata (used in MP3 output files), Vorbis Comment Metadata (used in FLAC, Opus and Ogg Vorbis output files) and MPEG-4 iTunes-style Metadata (used in AAC, M4A/M4B/MP4 and ALAC output files).

Metadata fields can make use of Variables and Placeholders.

Cover Image

Add a cover image or leave empty to import the cover image from your input file.
If a Video Output File or YouTube export is selected, Auphonic generates a video with cover/chapter image(s) automatically!

Extended Metadata

Extended metadata (subtitle, summary, genre, etc.) for your production.
Metadata tags from input files will be imported automatically in empty fields!

We correctly map metadata to multiple Output Files.
For details see the following blog posts: ID3 Tags Metadata (used in MP3 output files), Vorbis Comment Metadata (used in FLAC, Opus and Ogg Vorbis output files) and MPEG-4 iTunes-style Metadata (used in AAC, M4A/M4B/MP4 and ALAC output files).

Metadata fields can make use of Variables and Placeholders.

Subtitle

A subtitle for your production, must not be longer than 255 characters!

Summary / Description

Here you can write an extended summary or description of your content.

Append Chapter Marks to Summary

Append possible Chapter Marks with time codes and URLs to your Summary.
This might be useful for audio players which don’t support chapters!

Create a Creative Commons License

Link to create your license at creativecommons.org.
Copy the license and its URL into the metadata fields License (Copyright) and License URL!

Tags, Keywords

Tags must be separated by comma signs!

Chapter Marks

Chapter marks, also called Enhanced Podcasts, can be used for quick navigation within audio files. One chapter might contain a title, an additional URL and a chapter image.
Chapters are written to all supported output file formats (MP3, AAC/M4A, Opus, Ogg, FLAC, ALAC, etc.) and exported to Soundcloud, YouTube and Spreaker. If a video Output File or YouTube export is selected, Auphonic generates a video with chapter images automatically.
For more information about chapters and which players support them, please see Chapter Marks for MP3, MP4 Audio and Vorbis Comment (Enhanced Podcasts).

Chapter marks can be entered directly in our web interface or we automatically Import Chapter Marks from your input audio file.
It’s also possible to import a simple Text File Format with Chapters, upload markers from various audio editors (Audacity Labels, Reaper Markers, Adobe Audition Session, Hindenburg, Ultraschall, etc.), or use our API for Adding Chapter Marks programmatically.
For details, please see How to Import Chapter Marks in Auphonic.

Chapter Start Time

Enter chapter start time in hh:mm:ss.mmm format (examples: 00:02:35.500, 1:30, 3:25.5).
NOTE: You don’t have to add the length of an optional Intro File here!

Chapter Title

Optional title of the current chapter.
Audio players show chapter titles for quick navigation in audio files.

Chapter URL

Enter an (optional) URL with further information about the current chapter.

Chapter Image

Upload an (optional) image with visual information, e.g. slides or photos.
The image will be shown in podcast players while listening to the current chapter, or exported to video Output Files.

Import Chapter Marks from File

Select a Text File Format with a timepoint (hh:mm:ss[.mmm]) and a chapter title in each line or Import Chapter Marks from Audio Editors.
NOTE: We automatically import chapter marks form your input audio file!

Output Files

Add one or multiple output file formats (MP3, MP4, Ogg, WAV, Video, …) with bitrate, channel and filename settings to a production (see Audio File Formats and Bitrates for Podcasts). All Metadata Fields and Chapter Markers will be mapped to multiple output files. See below for a list of other, specialized output formats.
With Auphonic you can process video input files as well, or automatically generate a video output file from input audio using Cover and Chapter images - for details see Video Input and Output.

Supported audio output file formats:

• MP3: see MP3 Details and bitrate suggestions

• MP3 Variable Bitrate: see Lossy Audio Formats

• AAC (M4A, MP4, M4B): see AAC Details and bitrate suggestions

• Opus: see Opus Details and bitrate suggestions

• Ogg Vorbis: see Lossy Audio Formats

• FLAC: see FLAC Details and bitrate suggestions

• ALAC (M4A, MP4): see Lossless Audio Formats

• WAV 16-bit PCM: see Uncompressed Audio Formats

• WAV 24-bit PCM: see Uncompressed Audio Formats

Other output file formats:

• Video: Video Output for a video input file (we process the audio track only) or for an audio input file (we generate a video from your Cover and Chapter images)

• Audiogram (Waveform Video): generates a Shareable Audiogram Video from your input audio, including a dynamically generated waveform and your Cover Image (or possible Chapter Images) as background

• Individual Tracks: exports all individual, processed tracks of a Multitrack Production as separate files in WAV or FLAC format

• Unprocessed Input File: original (unprocessed) audio/video Input File

• Chapters File: chapter marks in MP4chaps Text Format

• Podlove Simple Chapters: chapter marks in Podlove Simple Chapter format (XML or JSON)

• Podcasting 2.0 Chapters: chapter marks in Podcasting 2.0 Chapters format (JSON)

• Cover Image: a copy of the Cover Image in full resolution

• Production Description: complete Description Of Your Production with all metadata, audio processing statistics, etc. (in JSON, XML or YAML)

• Audio Processing Statistics: loudness stats, music/speech, speaker activity, etc. in TXT, JSON or YAML format - see Audio Statistics

• Waveform Data File: data generated by audiowaveform for audio visualization - see Render Audio Waveforms in Browsers

• Transcript: human-readable HTML Transcript from Speech Recognition results

• Speech Data: machine-readable JSON or XML Data File with Speech Recognition results

• Subtitles: Subtitles/Captions File in WebVTT or SRT format with Speech Recognition results

• Cut List (Filler and Silence): export Filler Cuts and Silence Cuts as Cut Lists in Audacity, Adobe Audition, Reaper or EDL format

Output File Basename

Set basename (without extension) for all output files or leave it empty to take the original basename of your input file.

Output File Format

For an overview of audio formats see Output Files.

Audio Bitrate (all channels)

Set combined bitrate of all channels of your audio output file.
For details see Audio File Formats and Bitrates for Podcasts.

Filename Suffix (optional)

Suffix for filename generation of the current output file, leave empty for automatic suffix!

Filename Ending, Extension

Filename extension of the current output file.

Mono Mixdown

Click here to force a mono mixdown of the current output file.

Split on Chapters

If you have Chapter Marks, this option will split your audio in one file per chapter.
All filenames will be appended with the chapter number and packed into one ZIP output file.

Speech Recognition

Auphonic built a layer on top of multiple engines to offer affordable automatic speech recognition (ASR) in over 100 languages.
Please select our internal Auphonic Whisper ASR or an External ASR Engine when creating a new Production or Preset.

We send small audio segments to the speech recognition engine and then combine the results, add punctuation and apply some structuring to produce three types of Output Result Files: an HTML transcript, a WebVTT/SRT subtitle file and a JSON/XML speech data file.
If you use a Multitrack Production, we can automatically assign speaker names to all transcribed audio segments.

IMPORTANT: Speech Recognition is only available for paying users!

Using our internal Auphonic Whisper ASR, you have the following benefits:

• No external account is needed to run ASR in Auphonic.

• Your data doesn’t leave our Auphonic servers for ASR processing.

• No extra costs for the ASR services.

• Additional Auphonic pre- and post-processing for more accurate ASR, especially for Multitrack Productions.

• The quality of Whisper ASR is absolutely comparable to the “best” services in our comparison table.

• Whisper also provides a reliable automatic language detection feature.

Note:
If you want to use an external speech recognition engine, you first have to connect to an external Speech Recognition Service at the External Services page! For Auphonic Whisper ASR you do NOT need to register an external service!

For more details about our speech recognition system, the available engines, the produced output files and for some complete examples in English and German, please also visit Speech Recognition and our blog post about Auphonic Whisper ASR.

Select Service

For Automatic Speech Recognition you can select Auphonic Whisper ASR or an external service. For external services please register the service first!

Select Language

Select a language/variant for speech recognition.

Auphonic Whisper ASR

Select Service

For Auphonic Whisper ASR you do NOT need to register an external service!

Speaker Diarization

Automatically detect different speakers and add them to the transcript.
The number of speakers can be auto-detected or selected manually.

Speaker Names

Add a comma-separated list of speaker names for speaker detection.
List them in the order they appear in your input audio file.

Google Speech API

Word and Phrase Hints

Add Word and Phrase Hints to improve speech recognition accuracy for specific keywords and phrases.
Metadata (chapters, tags, title, artist, album) will be added automatically!

Wit.ai Speech Recognition

Wit.ai Language

The language must be set directly in your Wit.ai App.
IMPORTANT: If you need multiple languages, you have to add an additional Wit.ai service for each language!

Amazon Transcribe

Custom Vocabulary

Add Custom Vocabularies to improve speech recognition accuracy for specific keywords and phrases.
Metadata (chapters, tags, title, artist, album) will be added automatically!

Speechmatics

Custom Dictionary

Add your Custom Dictionary to improve speech recognition accuracy for specific keywords and phrases.
Metadata (chapters, tags, title, artist, album) will be added automatically!

Automatic Shownotes and Chapters

You can automatically generate shownotes and chapters by checking the Automatic Shownotes and Chapters Checkbox in the Auphonic singletrack or multitrack Production Form with any of our ASR Services enabled.
Once your production is done, the generated data will show up in your transcript result files and in the Auphonic Transcript Editor above the speech recognition transcript section.
Unless you have manually entered content before, the generated data will also be stored in your audio files’ metadata.

For more details and a description how to edit the autogenerated data, see Automatic Shownotes and Chapters Algorithm.

Shownotes Summary Example

Personalize the generated summary by providing a sample of one of your own summaries. This way, the shownotes model will try to imitate your style, and the generated summary will better match your existing self-written ones.
Additionally, you can use this feature to make the generated summary match your formatting, such as bullet points, HTML tags, or Markdown.

Publishing / External Services

Copy one or multiple result files to any External Service (Dropbox, YouTube, (S)FTP, SoundCloud, GDrive, LibSyn, Archive.org, S3, etc.):
1. First you have to connect to an external service at the External Services page.
2. Then you can select the service when creating a new Production or Preset.

When exporting to Podcasting/Audio/Video Services (SoundCloud, YouTube, Libsyn, Spreaker, Blubrry, Podlove, etc.), all metadata will be exported as well.
For a complete list and details about all supported services, see Auphonic External Services.

Review before Publishing

Enable this option to require a review before publishing results to services. You are able to publish the results on the status page after processing.

Select Service

Select an external service for outgoing file transfers. Please register your service first!

Output Files to copy

Select which Output File should be copied to the current external service.

YouTube Service

YouTube Privacy Settings

Set your video to Public (everyone can see it), Private (only your account can see it) or
Unlisted (everyone who knows the URL can see it, not indexed by YouTube).

YouTube Category

Select a YouTube category.

Facebook Service

Facebook Distribution Settings

Post to News Feed: The exported video is posted directly to your news feed / timeline.
Exclude from News Feed: The exported video is visible in the videos tab of your Facebook Page/User (see for example Auphonic’s video tab), but it is not posted to your news feed (you can do that later if you want).
Secret: Only you can see the exported video, it is not shown in the Facebook video tab and it is not posted to your news feed (you can do that later if you want).

For more details and examples please see the Facebook Export blog post.

Facebook Embeddable

Choose if the exported video should be embeddable in third-party websites.

SoundCloud Service

SoundCloud Sharing

Set your exported audio to Public or Private (not visible by other users).

SoundCloud Downloadable

Select if users should be able to download your audio on SoundCloud, otherwise only streaming is allowed.

SoundCloud Type

Select a SoundCloud type/category.

SoundCloud Audio File Export

Select an audio output file which should be exported to SoundCloud.
If set to Automatic, Auphonic will automatically choose a file.

Spreaker Service

Spreaker Draft Status

Check this option to add this episode as draft to Spreaker without actually publishing it.

Spreaker Collection / Show

Select your Spreaker Collection where this track should be published.
Each Collection has a separate RSS feed and can be created in your Spreaker Account.

Spreaker Sharing

Set your exported audio to Public or Private (not visible by other users).

Spreaker Downloadable

If disabled, listeners won’t be offered the option to download this track and it won’t be included in your RSS feed.

PodBean Service

PodBean Draft Status

Check this option to add this episode as draft at PodBean without actually publishing it.

PodBean Episode Type

Select which audience you wish to publish this episode to.
The exact list of options will vary based on your PodBean subscription model and settings. If you recently changed your subscription and miss some option here, please reauthorize us to see the updated list.

Captivate Service

Captivate Draft Status

Check this option to add this episode as draft at Captive without actually publishing it.

Episode Type

The episode type to mark this podcast in feeds and some apps as. Normal episodes are considered regular content, while trailer and bonus episodes may be displayed differently.

Audio Algorithms

Enable/disable audio algorithms. For more details about all parameters see the overview below and the description in Auphonic Post Production Algorithms!
Please don’t change our default values if you don’t know what these parameters mean - they should be a good starting point for most content!

More Settings

To see all available parameters, please activate more settings by clicking the slider icon on the right side of your selected audio algorithms.

Adaptive Leveler Settings

The Adaptive Leveler normalizes all speakers to a similar loudness so that a consumer in a car or subway doesn’t feel the need to reach for the volume control. However, in other environments (living room, cinema, etc.) or in dynamic recordings, you might want more level differences (Dynamic Range, Loudness Range / LRA) between speakers and within music segments.
Our parameters let users control the Leveler Strength to adjust mid-term level differences, similar to a sound engineer using the faders of an audio mixer, Compressor Settings for short-term dynamics control, and enables individual processing of music and speech segments.

Leveler Mode

The Leveler can be used in three different Modes, which show different parameters to control the leveling algorithm:

• Default Leveler:
  Shows parameters for Leveler Strength (to adjust mid-term level differences) and Compressor (for short-term dynamics).

• Separate MusicSpeech Parameters:
  In addition to the Default Leveler parameters, independent settings for music and speech segments (Music Leveler Strength, Music Compressor) can be selected. These settings allow you to use, for example, more leveling in speech segments while keeping music and FX elements less processed.
  This mode also shows the parameters MusicSpeech Classifier and Music Gain.

• Broadcast Mode:
  The Broadcast Mode uses different parameters, which are often used by broadcasters and in regulations, to control the strength of our Leveler: Maximum Loudness Range (MaxLRA), Maximum Short-term Loudness (MaxS), and Maximum Momentary Loudness (MaxM).
  Volume changes of our leveling algorithms will be adjusted to meet the given MaxLRA, MaxS, or MaxM target values (if not possible, you will receive a warning message via email and on the production page).
  The parameters Compressor and Music Gain are also available in this mode.

Leveler Strength

The Leveler Strength controls how much leveling is applied: 100% means full leveling, 0% means no leveling at all. Changing the Leveler Strength increases/decreases the dynamic range of the output file.

For example, if you want to increase the dynamic range of your output by 3dB compared to 100% leveling, just set the Leveler Strength parameter to 70% (~3dB).
We also like to call this concept Loudness Comfort Zone: above a maximum and below a minimum level (the comfort zone), no leveling is applied; the higher the Leveler Strength, the smaller the comfort zone (more leveling necessary). So if your input file already has a small dynamic range (is within the comfort zone), our leveler will be just bypassed.

Example Use Case:
Lower Leveler Strength values should be used if you want to keep more loudness differences in dynamic narration or dynamic music recordings (live concert/classical).

Two special parameter values (> 100%) are also available:

• 110% (Fast Leveler):
  Here the Leveler reacts much faster. It is built for recordings with fast and extreme loudness differences, for example, to amplify very quiet questions from the audience in a lecture recording, to balance fast-changing soft and loud voices within one audio track, etc.

• 120% (Amplify Everything):
  Amplifies as much as possible. Similar to Fast Leveler, but more extreme and also amplifies non-speech background sounds like noise.

Another way to control the strength of the Leveler (in Broadcast Mode) is to use targets for Maximum Loudness Range, Maximum Short-term Loudness or Maximum Momentary Loudness.

Compressor

Select a preset value for micro-dynamics compression:
A compressor reduces the volume of short and loud spikes like the pronunciation of “p” and “t” or laughter (short-term dynamics) and also shapes the sound of your voice (making the sound more or less “processed” or “punchy”).

Possible values are:

• Auto: The compressor setting depends on the selected Leveler Strength. Medium compression is used for strength values <= 100%, Hard compression for strength values > 100% (Fast Leveler and Amplify Everything).

• Soft: Uses less compression.

• Medium: Our default setting.

• Hard: More compression, especially tries to compress short and extreme level overshoots. Use this preset if you want your voice to sound very processed, our if you have extreme and fast-changing level differences.

• Off: No short-term dynamics compression is used at all, only mid-term leveling. Switch off the compressor if you just want to adjust the loudness range without any additional micro-dynamics compression.

Leveler Strength for Music Segments

Select separate Leveler Strength values for music and speech segments.
The default setting is Same as Speech (same strength for music and speech segments).

Compressor for Music Segments

Select separate Compressor Presets for music and speech segments.
The default setting is Same as Speech (same compressor preset for music and speech segments).

MusicSpeech Classifier Setting

Use our speech/music classifier to level music and speech segments separately (default setting), or override the classifier decision and treat the whole audio file as speech or music.

Music Gain

Add a gain to music segments, to make music louder or softer compared to the speech parts.
Use the default setting (0 dB) to give music and speech parts a similar average loudness.

Maximum Loudness Range (MaxLRA)

The loudness range (LRA) indicates the variation of loudness throughout a program and is measured in LU (loudness units) - for more details, see Loudness Measurement and Normalization or EBU Tech 3342.
The volume changes of our Leveler will be restricted so that the LRA of the output file is below the selected value (if possible).
High LRA values will result in very dynamic output files, whereas low LRA values will result in compressed output audio. If the LRA value of your input file is already below the maximum loudness range value, no leveling at all will be applied.

Loudness Range values are most reliable for pure speech programs: a typical LRA value for news programs is 3 LU; for talks and discussions, an LRA value of 5 LU is common. LRA values for features, radio dramas, movies, or music strongly depend on the individual character and might be in the range of 5 to 25 LU - for more information, please see Where LRA falls short.
Netflix, for instance, recommends an LRA of 4 to 18 LU for the overall program and 7 LU or less for dialog.

Example Use Case:
The broadcast parameters can be used to generate automatic mixdowns with different LRA values for different target environments (very compressed environments like mobile devices or Alexa, or very dynamic ones like home cinema, etc.).

Maximum Short-term Loudness (MaxS)

Set a Maximum Short-term Loudness target (3s measurement window, see EBU Tech 3341, Section 2.2) relative to your Global Loudness Normalization Target.
Our Adaptive Leveler will ensure that the MaxS loudness value of the output file, which are loudness values measured with an integration time of 3s, will be below this target (if possible).
For example, if the MaxS value is set to +5 LU relative and the Loudness Target to -23 LUFS, then the absolute MaxS value of your output file will be restricted to -18 LUFS.

The Max Short-term Loudness is used in certain regulations for short-form content and advertisements.
See for example EBU R128 S1: Loudness Parameters for Short-form Content (advertisements, promos, etc.), which recommends a Max Short-term Loudness of +5 LU relative.

Maximum Momentary Loudness (MaxM)

Similar to the MaxS target, it’s also possible to use a Maximum Momentary Loudness target (0.4s measurement window, see EBU Tech 3341, Section 2.2) relative to your Global Loudness Normalization Target.
Our Adaptive Leveler will ensure that the MaxM loudness value of the output file, which are loudness values measured with an integration time of 0.4s, will be below this target (if possible).

The Max Momentary Loudness is used in certain regulations by broadcasters. For example, CBC and Radio Canada require that the Momentary Loudness must not exceed +10 LU above the target loudness.

Loudness Normalization and True Peak Limiter Settings

Adjusts the global, overall loudness to the specified Loudness Target (using a True Peak Limiter), so that all processed files have a similar average loudness.
For more see Loudness Normalization with True Peak Limiter and following Parameters.

Loudness Target

Set a loudness target in LUFS for Loudness Normalization, higher values result in louder audio outputs.
The maximum true peak level will set automatically to -1dBTP for loudness targets >= -23 LUFS (EBU R128) and to -2dBTP for loudness targets <= -24 LUFS (ATSC A/85).
For details and examples, see Global Loudness Normalization and True Peak Limiter.

Maximum Peak Level

Maximum True Peak Level of the processed output file. Use Auto for a reasonable value according to the selected loudness target: -1dBTP for EBU R128 and higher, -2dBTP for ATSC A/85 and lower.

Dual Mono

If a mono production is played back on a stereo system (dual mono), it should be attenuated by 3 dB (= 3 LU) to sound as loud as the equivalent stereo production. The EBU Guidelines for Reproduction require that this -3 dB offset should be applied in the playback device - however, most devices don’t do so (but some do).

Please select the dual mono flag, to automatically add a -3 LU offset for mono productions.
This means, if you select a loudness target of -16 LUFS and the dual mono flag, your stereo productions will be normalized to -16 LUFS, but mono productions to -19 LUFS.

For details, please see Loudness Normalization of Mono Productions.

Normalization Method / Anchor-based Normalization

Perform loudness normalization according to the whole file (Program Loudness) or according to dialog / speech parts only (Dialog Loudness, anchor-based loudness normalization).
For details, please see Dialog Loudness Normalization for Cinematic Content.

Adaptive Filtering Settings

Filtering Method

Here you can select the desired filtering algorithm for your production:

Adaptive high-pass filtering cuts disturbing low frequencies and interferences, depending on the context. Unnecessary low frequencies are removed adaptively in every audio segment, but the overall sound of the audio is preserved.
For more information, please see Adaptive high-pass filtering.

Voice AutoEQ automatically removes sibilance (De-Esser) and optimizes the frequency spectrum of a voice recording, to avoid speech that sounds very sharp, muddy, or otherwise unpleasant. The Voice AutoEQ is always applied in combination with the Adaptive high-pass filtering.
For more information, please see Voice AutoEQ.

Noise and Reverb Reduction Settings

Removes static and fast-changing noises including reverb from audio files.
For more details, see Noise Reduction Algorithms.

Denoising Method

Define whether Auphonic should remove only static or also fast-changing noises including reverb or breathings and if we should keep or eliminate music.
The Static Denoiser removes stationary, technical noises, while our Dynamic Denoiser removes everything but voice and music. Select Speech Isolation if you only want to keep speech, so all noise and even music will be removed.
Please listen to the differences between the algorithms in our Noise Reduction Audio Examples and find more details about Noise Reduction here.

Remove Noise

Regardless of which denoising method is selected, you can set the maximum noise reduction amount in dB.
The default value is 100 dB (full) noise reduction. Set to a lower value if you prefer less or no noise reduction.
For Static Denoiser in Auto mode, a classifier decides if and how much noise reduction is necessary. Be aware, that custom set higher values might result in artifacts or destroy music segments!

Remove Reverb

For Dynamic Denoiser or Speech Isolation, you can remove or reduce reverb caused by large rooms from your recordings. The default value is 100 dB (full) reverb reduction. Set to a custom value if you prefer less or no reverb reduction to keep some ambiance.

Remove Breathings

If you enable Remove Breathings for Dynamic Denoiser or Speech Isolation, all distracting inhalation and exhalation sounds will be reduced or removed from your recordings. Set higher values to get more breathing sound reduction.

Parameters for Static Denoising

In addition to the parameter Remove Noise, we offer two more parameters for the Static Denoiser to control the combination of our Static Noise and Hum Reduction algorithms.
Behavior of our Noise and Hum Reduction parameter combinations:

Remove Noise	Hum Base Frequency	Hum Reduction Amount
Auto	Auto	Auto	Automatic hum and noise reduction
Auto or > 0		Disabled	No hum reduction, only denoise
Off	50Hz	Auto or > 0	Force 50Hz hum reduction, no denoise
Off	Auto	Auto or > 0	Automatic dehum, no denoise
12dB	60Hz	Auto or > 0	Always do dehum (60Hz) and denoise (12dB)

Hum Reduction Base Frequency
For Static Denoising, set the hum base frequency to 50Hz or 60Hz (if you know it), or use Auto to automatically detect the hum base frequency in each speech region.

Hum Reduction Amount
For Static Denoising, set the maximum hum reduction in dB. Higher values remove more hum but carry the risk of worsening.
In Auto mode, a classifier decides how much hum reduction is necessary for each speech region.
Set it to a custom value (> 0), if you prefer more hum reduction or want to bypass our classifier.
Use Disable Dehum to disable hum reduction and use our noise reduction algorithms only.

Automatic Cutting

Our automatic cutting algorithms detect and remove filler words and silent segments to enhance the clarity and professionalism of your content. You just need to enable the Cut Fillers and/or Cut Silence algorithms in your production – no further settings are required.

In the Auphonic Audio Inspector, you can hide the cut regions by clicking the [?] (show legend) button and the Hide Cut Regions switch. Hiding the cut regions also adjusts the timeline to the cut length, so that the timestamps of the speech recognition transcript match the audio inspector again.

IMPORTANT: For video files use the “Export Uncut Audio” Mode with Cut List export! In “Apply Cuts” Mode we cut the audio and deactivate the video output format for you.

Cut Silence

Our automatic silence cutting algorithm reliably detects and removes silent segments from your record, that might be caused by speech breaks, pauses for breathing, or equipment-re-adjusting.
For details and examples, please visit Silence Cutting.

Cut Fillers

The filler word cutting algorithm automatically detects and removes filler words, namely any kind of “um”, “uh”, “mh”, German “ähm”, “äh”, “öh”, French “euh”, Spanish “eh” and similar.
For details and examples, please visit Filler Cutting.

Cut Mode

Select what to do with detected cuts. The “Apply Cuts” mode actually cuts audio content. “Set Cuts To Silent” fades cut regions to silence instead of actually cutting them. “Export Uncut Audio” keeps the audio content as it is. With the “Set Cuts To Silent” mode and the “Export Uncut Audio” mode we automatically generate “Cut Lists” in various formats. You can apply those in your favorite audio or video editor via import.