This de-esser uses a novel approach called Temporal Sibilance Processing. The idea is to distinguish between fricatives and voiced sections of the speech signal by the number of zero crossings in time. Most of the speech file is left untouched (the samples are directly copied from source to destination). Only fricatives that are long enough and loud enough are filtered. The advantage of this approach over traditional approaches is that the clarity of the remaining speech is completely unaffected.

Features

  • Reduce sibilance in speech without affecting the quality of the rest of the audio.
  • Sibilance can be classified according to harshness (RMS amplitude) and duration and custom filters can be applied to each class.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow de-ess

de-ess Web Site

You Might Also Like
Our Free Plans just got better! | Auth0 by Okta Icon
Our Free Plans just got better! | Auth0 by Okta

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of de-ess!

Additional Project Details

Operating Systems

Linux, BSD

User Interface

Command-line

Programming Language

C

Related Categories

C Audio Conversion Software, C Audio Editing Software, C Speech Software

Registered

2013-08-29