In the speaker recognition task, their evaluation shows that when stress is present, the recognition rates decrease significantly especially for speech under loud and angry condition.
To derive the Lyon cochleagram of the speech signals, we used the Auditory Toolbox developed by M. Slaney [44]. Figure 7 Lyon cochleagram for the signal of the word "destination" under angry condition.
Indeed, it can be seen that in Figure 7 the vowels are more separated and enhanced with high values of energy, as we expect them to be when speaking under angry condition.
Within this location, we included those voxels showing task-related effects (P < 0.05 uncorrected), as assessed by an F-contrast considering the "approach-happy," "approach-angry," "avoid-happy," and "avoid-angry" conditions of the AA task.
Administrators knew inmates were angry about conditions at the prison.
Ms. Falcone said she agreed to be quoted by name because she was angry about conditions in Bo Robinson.
Table 5 yields the calculated values in each of the neutral and angry talking conditions using SUSAS database between CSPHMM2s and each of LTRSPHMM1s, LTRSPHMM2s, and CSPHMM1s.
Figure 3 illustrates speaker identification performance in each of the neutral and angry talking conditions using SUSAS database based on each of LTRSPHMM1s, LTRSPHMM2s, CSPHMM1s, and CSPHMM2s.
Figure 3 Speaker identification performance in each of the neutral and angry talking conditions using SUSAS database based on each of LTRSPHMM1s, LTRSPHMM2s, CSPHMM1s, and CSPHMM2s.
In the present work, isolated words recorded at 8 kHz sampling rate were used under each of the neutral and angry talking conditions.
