[PDF] Top 20 Mutual Information Based Analysis and Prediction of Speech Intelligibility

... The mutual information is successfully calculated between clean speech signal with additive ...clean speech is processed by considering the additive noise but not necessarily stationary noise ... See full document

... A comparison was carried out between the results presented for NSIM and the speech intelligibility index. The SII was calculated by the one- third octave procedure in ANSI (1997) using the long term ... See full document

... clean speech from the far end and ambient noise coming from the near-end side, which entails a greater listening effort and possibly an intelligibility of the lower ...average intelligibility of ... See full document

... Objective intelligibility models (OIMs) have been improving in accuracy for almost a ...accurate intelligibility predictions in various masking conditions, with their binaural counterparts able to deal with ... See full document

... the prediction by machine scores of the observed trends in average human performance for a range of simulated ARHL conditions was ...the prediction system was originally designed, namely people with ARHL ... See full document

... significant speech energy is ...two-way analysis of variance with factors noise type (df=2) and ESII (df=4) was conducted and the results appear in Table ...explore prediction ability with both more ... See full document

... practical intelligibility prediction metric: the construction of a recog- niser for each task is time-consuming and requires the acqui- sition of training data; the recogniser may not perform at a level ... See full document

... simulated speech intelligibility ...of speech at a range of presentation levels, had not been previously attempted using the AN model and Chapters 3 and 4 confirmed that the natural variance in ... See full document

... the information is received from the outside world or to communicate with each ...of information are speech, images and written text. Speech not only conveys linguistic contents, but also ... See full document

... was based on the following facts: 1) Though non-stationary, speech signal can be considered as sta- tionary for a short period of 20-40 ms [3,4], 2) Speech is a convolution of two signals: the ... See full document

... in-depth analysis of the effect of BoNT-A injections on speech intelligibility in OMD based on type and ...This information would be important in adding to the limited empirical ... See full document

... Determining degrees of similarity between the world’s lan- guages is an intensely debated issue (Lebart and Rajman, 2000), many of the controversies in historical and com- parative linguistics being centered on language ... See full document

... Figure 3 shows a cascade of N signal processing operations with the Estimator blocks at the output of each stage as studied by Messerschmitt [18]. He used the conditional mean at each stage and the corresponding ... See full document

... Typical algorithms for ICA use centering (subtract the mean to create a zero mean signal), whitening (usually with the eigenvalue decomposition), and dimensionality reduction as preprocessing steps in order to simplify ... See full document

... highest intelligibility rate for each ...best speech intelligibility, otherwise the bedroom would have had the highest speech-intelligibility ... See full document

... The results are shown in the right panel of Fig. 1. Six participants exhibited vary- ing negative reactions to the greatest levels, finding a particular non-maximal level rated highest (e.g., 66 and 74 dB A). For the ... See full document

... comparing speech intelli- gibility at the same output level of both processing schemes, as was done here, the frequency shape of the output signals will be di ff erent, and part of the speech spectrum was ... See full document

... codebook based approach to evaluate the STP parameter ...the speech signal and zero replacement single of speech ...the speech signal and this method is affected due to the non-stationary ... See full document

... component analysis (PCA) algorithm is a kind of commonly used data dimensionality reduction ...of mutual information credibility, a PCA data dimensionality reduction algorithm based on ... See full document

... on mutual intelligibility of Sidamo dialects, the degree of mutual intelligibility among various varieties and the attitude of the speakers towards each others’ varieties has not been ... See full document