AES E-Library

AES E-Library

Adjusting a Commercial Speech Enhancement System to Optimize Intelligibility

Document Thumbnail

To improve the quality of noisy speech recordings, sound engineers have at their disposal a variety of signal processing techniques. These techniques often have a wide range of parameters which need to be adjusted to obtain optimal processing results. This paper investigates the difficulty of finding the best parameter settings for a commercial noise-reduction system. In a first experiment, operators adjusted the settings of a particular system while attempting to maximise the intelligibility of speech corrupted with babble noise at different signal-to-noise ratios. Their preferences were then evaluated in a listening experiment - showing that their chosen settings actually reduced intelligibility compared to the original signal. In another experiment a range of parameter settings for the same system were evaluated using both listeners and an intelligibility model based on a speech envelope distortion measure. Although the measure is imperfect, it is still able to predict optimal parameter settings better than the human operators.

AES Conference:
Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society