Sentence examples for sentence intelligibility from inspiring English sources
In [25], for example, sentence intelligibility in different types of noise for hearing-impaired listeners was investigated.
The purpose of this study was to determine whether sentence intelligibility improves in speakers with idiopathic Parkinson's disease (PD) as a result of Lee Silverman Voice Treatment (LSVT).
Sentence intelligibility scores confirmed variations between languages, but these variations were statistically significant only at the STI = 0.4 condition (sentence tests being less sensitive to very good and very poor room acoustic conditions).
They found similar SRTs (Speech Reception Thresholds: SNRs required for 50%% sentence intelligibility) for the first two groups, but 4 5 dB higher SRTs for the late bilinguals.
Festen and Plomp (1990) also compared different-sex with same-talker interference using a sentence intelligibility task and observed an SRT difference of no less than 6 10 dB.
The subject's task is to repeat the sentences, and intelligibility is measured in terms of correctly recognised key-words.
Articulation scores and subjectively judged intelligibility of sentences were obtained in a laboratory situation together with the physical measure of the cross-correlation between the source and the listening point.
Coherence values for the 4 channel condition, which showed the most behavioral variability, were not correlated with single-subject word report scores across participants or with differences between high- and low-intelligibility sentences within each participant.
Word intelligibility in a carrier sentence was tested with the newly developed algorithm including two different filter designs in three reverberant conditions.
These in-corpus sentences give an insight on the intelligibility of the synthesis speech compared to the original speaker production.
Our comparison of responses with 4 channel and spectrally rotated 4 channel vocoded sentences thus demonstrates that it is intelligibility, rather than dynamic spectral change created by multiple amplitude envelopes (Roberts et al. 2011), that is critical for enhancing cerebro-acoustic coherence.
