Two sets of data are provided. The first set contains simulated binaural recordings. Harvard sentences were mixed with a stationary noise masker (SSN: speech-shaped noise) or a fluctuating noise masker (CS: female competing speech) at two SNR levels: -9 aThe dataset contains clean target speech and maskers and their simulated binaural mixtures in anechoic rooms, real room recordings, source estimates via blind source | Version: 1.
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
A non-intrusive method is introduced to predict binaural speech intelligibility in noise directly fr...
Here are the scored speech perception in noise data from this project. In each participant file reco...
State-of-the-art binaural objective intelligibility measures (OIMs) require individual source signal...
When speech is in competition with interfering sources in rooms, monaural indicators of intelligibil...
This datafile contains the results from the speech intelligibility experiment collected as part of t...
National audienceNumerous studies have addressed speech intelligibility in situations where the targ...
BinauRec is a dataset for binaural speech enhancement. It is composed of real recordings, measured a...
A distortion-weighted glimpsing metric developed for estimating monaural speech intelligibility is e...
Lavandier and Culling [Lavandier, M. and Culling, J. F. 2010. Prediction of binaural speech intellig...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
One criterion in the design of binaural sound scenes in audio production is the extent to which the ...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
AbstractA distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech inte...
Spatially separating speech maskers from target speech often leads to a large intelligibility improv...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
A non-intrusive method is introduced to predict binaural speech intelligibility in noise directly fr...
Here are the scored speech perception in noise data from this project. In each participant file reco...
State-of-the-art binaural objective intelligibility measures (OIMs) require individual source signal...
When speech is in competition with interfering sources in rooms, monaural indicators of intelligibil...
This datafile contains the results from the speech intelligibility experiment collected as part of t...
National audienceNumerous studies have addressed speech intelligibility in situations where the targ...
BinauRec is a dataset for binaural speech enhancement. It is composed of real recordings, measured a...
A distortion-weighted glimpsing metric developed for estimating monaural speech intelligibility is e...
Lavandier and Culling [Lavandier, M. and Culling, J. F. 2010. Prediction of binaural speech intellig...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
One criterion in the design of binaural sound scenes in audio production is the extent to which the ...
A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the...
AbstractA distortion-weighted glimpse proportion metric (BiDWGP) for predicting binaural speech inte...
Spatially separating speech maskers from target speech often leads to a large intelligibility improv...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
A non-intrusive method is introduced to predict binaural speech intelligibility in noise directly fr...
Here are the scored speech perception in noise data from this project. In each participant file reco...