Speech intelligibility enhancement
Contact: Richard Hendriks
The use of speech processing devices in our society has become widespread. Examples are public address systems, mobile telephony, hearing aids and internet telephony.In mobile situations, the user environment is typically noisy with increased intelligibility problems as a result.
To increase the speech quality and intelligibility, it is common practice to apply noise reduction and speech enhancement algorithms to the signals recorded at the far end and played back at the near end, respectively.
To reduce far-end noise, it is common to apply single or multi-microphone noise reduction algorithms at the far-end. Single-microphone methods are mostly effective for increasing the speech quality, while multi-microphone methods are able to improve the speech intelligibility as well.
At the near-end, the pre-processing is performed on the speech signal that is received from the far-end, to maintain its intelligibility when played out in the noisy near-end environment.
The repository contains Matlab code of several algorithms which we have proposed and published over the past decade.
Items under this topic
Distributed Rate-Constrained LCMV BeamformingSoftware, Oct 2019 |
Joint near-end and far-end intelligibility enhancementSoftware, Jan 2017 |
Optimal energy redistribution for speech enhancementSoftware, Feb 2015 |
STOI-Optimal N-of-M Channel Selection for Cochlear ImplantsSoftware, Aug 2012 |
Near-End Speech EnhancementPre-processing algorithm to improve speech intelligibility in noise for the near-end listener.Software, May 2012 |
