By Paul A. Wilson
HIV/AIDS is a world disaster, threatening social and monetary balance within the most influenced parts, whereas spreading relentlessly into new areas. over the last yr, three million humans died of AIDS, greater than ever earlier than and greater than from the other infectious sickness. This Millennium undertaking activity strength document deals suggestions to beat hindrances to prevention; therapy and help for affected families; with a spotlight on reaching tangible effects.
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Extra info for Combating AIDS in the Developing World (Un Millennium Project)
This is therefore a further restriction often imposed from the real-world situation, and the question of to what extent questioned/unknown forensic speech samples can legitimately be pooled is an important one that must always be addressed. Chapter summary Forensic speaker identification is about attempting to discriminate between samespeaker and different-speaker voice samples. Voices are characterisable in an exceedingly large number of dimensions, and, because it is likely that they occupy separate regions in multidimensional speaker space, it is also likely that speakers of a given language all have different voices.
Sample number, dimension number, and dimension size are explained below. Sample number Let us assume that four speech samples are available: two of the offender, call these the questioned samples, and two of the suspect, the suspect samples. 5 symbolises these speech samples, marked ‘Speech Sample Q(uestioned)’ 1 and 2, and ‘Speech Sample S(uspect)’ 1 and 2, as having come from the questioned and suspect sources respectively. The number of speech samples for each source is called the sample number.
An improvement in discrimination performance will only happen if the dimensions are not strongly correlated, otherwise the same discrimination performance occurs with two well-correlated dimensions as with one. 3, it can be seen that there is in fact a certain degree of correlation, since the second dimension increases as the first increases. The question of correlation between dimensions is an important one, to be examined in greater detail later. 3 shows two configurations typical for voice comparison: that one pair of speakers can be well separated in dimension 1 but not in dimension 2, whereas another pair might be well separated in dimension 2 but not in dimension 1.