Editing Voice analysis (section)

=== Speaker Identification ===
Voice analysis has a role in [[Speaker recognition|speaker identification]]. This is when the identity of a speaker is unknown, and has to be identify from an array of other voices or suspects when pertaining to a crime investigation or court trial.  Proper identification of speaker and voices particularly for criminal cases depend on a list of factors, like familiarity, exposure, delay, tone of voice, voice disguising, and accents. Familiarity with a speaker increases the chances of properly identifying a voice, and distinguishing it. The amount of exposure to a voice also aids in correctly identifying a voice, even if it is an unfamiliar one. A hearer that listen to a longer utterance or was exposed to a voice more often is better at recognizing a voice, than someone who perhaps was only able to hear one word. A delay between the time of hearing a voice and the time of identifying the speaker also decreases the prospect of identifying the correct speaker. The [[Tone (linguistics)|tone of voice]] affects the ability to identify the right speaker. If the tone does not match that of the speaker at the time of comparison, it will prove to be more difficult to analyse. Disguise of the voice, for example when a speaker is whispering, will also hinder the ability to accurately match and identify the speaker. In some cases, individuals who speak the same language as the speaker whose voice is being analysed will have an easier time identifying them because of the [[Stress (linguistics)|accent and stress]] of the voice. Speaker identification is additionally complicated by distortions from the technical method of recording and speaker based issues, such as emotional states or alternative motives causing a discrepancy between their voice and that of a recording. The methods of speaker identification in forensics include the use of earwitnesses who are used to identify voices they have heard, the aural-perceptual approach conducted by a specialist regarding the suprasegmentals of an individual's speech, and computer-based approaches.