Exact(4)
Furthermore, in this work, mixture sizes of 1024 and 2048 are not considered, because in this work there are insufficient data size for training; utilizing these mixture sizes causes a decline in the SIA performance.
The HMM baseline was trained with the GMM mixture sizes of 24; and 1,189 GMMs were extracted for template construction.
Relative separation performance of methods: In lower mixture sizes (N=2,3), MLP-AVSS method provides higher output SIRs relative to GMM-AVSS and both of them are superior to JADE-AV for alpha-digits corpus.
Based on the three databases without the noise and handset conditions, the order for best SIA was NIST2008, TIMIT, SITW with 95.83, 95, and 82.5%, respectively, at mixture sizes 64, 512, and also 512, respectively.
Similar(56)
Finally, in Fig. 2 the NIST 2008 database curve has the smallest variation between the highest SIA (at mixture size 512) and the lowest SIA achieved at mixture size 8.
According to Table 2, we highlight that the best SIA values were achieved using the same fusion decision (f 1- g 2) for all three databases and they are at 95.83% for the mixture size 64, 95% for the mixture size 512, and 82.5% for the mixture size 512 for the NIST 2008, TIMIT, and SITW databases, respectively.
This equation measured the SIAclean at mixture size 256 for the original recordings in TIMIT, SITW, and NIST 2008, without noise and handset conditions.
The cellular solid is obtained by generating mixture size of spherical voids using the Random Sequential Addition – RSA algorithm.
For each corpus and mixture size, input mean SIRs are obtained by calculating average on all the simulated random mixing matrices.
All other simulations in part A were on noisy speech, with seven SNR levels between 0 and 30 dB for the same databases at mixture size 256.
Firstly, increasing the GMCs always increases the SIA for all databases as in the simulations (1 A, 1 B, 1 C), except in mixture size 64 for the NIST 2008 database which obtains better SIA than other mixtures.
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