Hello, I am looking for someone to write an essay on Forensic phonetics. It needs to be at least 1000 words.Download file to see previous pages... The success of voice recognition is pegged on the abi

Hello, I am looking for someone to write an essay on Forensic phonetics. It needs to be at least 1000 words.

The success of voice recognition is pegged on the ability of the witness to correctly remember and identify without doubt the voice of the perpetrator of the crime. This is however difficult as the voice of the criminal can change over time, the memory of the voice tends to decrease as time goes by, the memory of the witness might also be influenced by familiar voices among other factors. In certain cases such as the Hulet case, suspects have been wrongly accused due to the inability of the witness to correctly identify and recognize the voice of the criminal. It is for this reason that speech samples are employed during forensic investigations to try and increase the accuracy of voice recognition. These speech samples are collected at different periods of time to be used later in voice recognition in identification. In identifying which samples will be most effective for accurate voice recognition several assessments should be made (Neustein, 2012). For these samples to be effective the time the human voice takes to change has to be taken into consideration while collecting and using the samples. It is believed that while the human voice is slow to change the exact period it takes to change varies. For some it may take a year for others a few years to come. While collecting speech samples therefore the time taken for a voice to change will determine whether the sample will be effective or not. Studies however have shown that latency in time between recordings decreases the accuracy of voice recognition. This means that contemporary recordings will tend to record a higher chance of accurate identification as compared to latent recordings. The listener experience and similarity of the voices in speech samples also determines how effective they will be in voice recognition. More experienced listeners will tend to be more accurate in voice recognition as compared to those who are not. Accuracy is also higher where the voices in the speech samples are dissimilar (Neustein, 2012). The identification accuracy of a speech sample can also be influenced by sample duration and acoustic quality. Surprisingly studies have shown that the duration of a voice sample does not significantly influence voice identification or recognition. Samples whether long or short can achieve the same level of accuracy. Where however there is phonemic variation the longer sample will provide a more accurate chance for voice recognition. Acoustic quality unlike duration is more complex as it involves factors such as background noise and bandwidth. Background noise may include a radio playing, sudden speech, television sounds, traffic sounds, and crowds among others. The recording device on which the sample has been done may also have a bigger or smaller bandwidth. Some devices such as the telephone, mobile phones have a smaller bandwidth which may decrease clarity of the voice as compared to voice recorders, cameras among others (Erikson, nd.). Aural or acoustic assessment of a speech sample therefore involves a combination of linguistic judgments by the examiner listening to the sample as well as the use of acoustic measurements used by phoneticians to describe speech.