In audiology, the Articulation Index (AI) is a tool used to predict the amount of speech that is audible to a patient with a specific hearing loss. The AI figure for a given patient can range from zero to one, representing the proportion of the average speech signal that is audible. The closer the AI is to one, or 100 percent, the better the person should be able to hear speech. The calculation is also used in industrial settings for the design of safety devices, such as flight helmets, where audio signals are required to be clearly heard.
The AI is often used as a counseling tool since it presents an individual's hearing loss in terms of percentage of speech that is audible during a typical one-on-one conversation. The AI can also be used to measure the effectiveness of hearing aids and other forms of amplification devices.
Since the creation of the AI, there have been several proposed ways to simplify and increase its use. In 1990, Gustav Mueller and Mead Killion proposed an AI calculation involving one hundred dots on an audiogram, each of which represented an important speech frequency; the proportion of dots audible to the listener estimates the patient's AI. Unfortunately, not all areas on the audiogram (taking into account frequencies and intensity levels) are equally weighted. According to this procedure, the highest density of the audiogram dots is concentrated in the frequency region of 1-3 kHz, since this is the region containing the most speech information.
Industrial useedit
In many industrial settings noise exposure metrics have been established to quantify human exposure to sound. In aerospace settings the Speech Intelligibility Index (SII), published in 1986 by the American National Standards Institute, is a major revision of the AI standard and defines computational methods "that produce results highly correlated with the intelligibility of speech under a variety of adverse listening conditions, such as noise masking, filtering and reverberation".[1]
^Jeffrey R. Davis M.D.; Robert Johnson; Jan Stepanek (2008). Fundamentals of Aerospace Medicine. Lippincott Williams & Wilkins. p. 128. ISBN9780781774666.
Other sourcesedit
Amlani, A., Punch, J., and Ching, T. (2002), "Methods and Applications of the Audibility Index in Hearing Aid Selection and Fitting" in Trends in Amplification, 6(3), pp. 81–129: [1]
Mueller, G. and Killion, M. (1990), "An Easy Method for Calculating the Articulation Index" in The Hearing Journal, 43(9), pp. 14–17: [2]
French, N.R. and Steinberg, J.C. (1947), "Factors governing the intelligibility of speech sounds" in J Acoust Soc Am, 19, p. 90: [3]
Kryter, K.D. (1962), "Methods for the calculation and use of the Articulation Index" in J Acoust Soc Am, 34(11): pp. 1689–1697.
Kryter, K.D. (1962), "Validation of the Articulation Index" in J Acoust Soc Am, 34(11): pp. 1668: [4].
May 08, 2024
articulation, index, audiology, tool, used, predict, amount, speech, that, audible, patient, with, specific, hearing, loss, figure, given, patient, range, from, zero, representing, proportion, average, speech, signal, that, audible, closer, percent, better, pe. In audiology the Articulation Index AI is a tool used to predict the amount of speech that is audible to a patient with a specific hearing loss The AI figure for a given patient can range from zero to one representing the proportion of the average speech signal that is audible The closer the AI is to one or 100 percent the better the person should be able to hear speech The calculation is also used in industrial settings for the design of safety devices such as flight helmets where audio signals are required to be clearly heard Contents 1 Clinical use 2 Industrial use 3 See also 4 References 5 Other sourcesClinical use editThe AI is often used as a counseling tool since it presents an individual s hearing loss in terms of percentage of speech that is audible during a typical one on one conversation The AI can also be used to measure the effectiveness of hearing aids and other forms of amplification devices Since the creation of the AI there have been several proposed ways to simplify and increase its use In 1990 Gustav Mueller and Mead Killion proposed an AI calculation involving one hundred dots on an audiogram each of which represented an important speech frequency the proportion of dots audible to the listener estimates the patient s AI Unfortunately not all areas on the audiogram taking into account frequencies and intensity levels are equally weighted According to this procedure the highest density of the audiogram dots is concentrated in the frequency region of 1 3 kHz since this is the region containing the most speech information Industrial use editIn many industrial settings noise exposure metrics have been established to quantify human exposure to sound In aerospace settings the Speech Intelligibility Index SII published in 1986 by the American National Standards Institute is a major revision of the AI standard and defines computational methods that produce results highly correlated with the intelligibility of speech under a variety of adverse listening conditions such as noise masking filtering and reverberation 1 See also editAbsolute threshold of hearing Health effects from noise Active noise controlReferences edit Jeffrey R Davis M D Robert Johnson Jan Stepanek 2008 Fundamentals of Aerospace Medicine Lippincott Williams amp Wilkins p 128 ISBN 9780781774666 Other sources editAmlani A Punch J and Ching T 2002 Methods and Applications of the Audibility Index in Hearing Aid Selection and Fitting in Trends in Amplification 6 3 pp 81 129 1 Mueller G and Killion M 1990 An Easy Method for Calculating the Articulation Index in The Hearing Journal 43 9 pp 14 17 2 French N R and Steinberg J C 1947 Factors governing the intelligibility of speech sounds in J Acoust Soc Am 19 p 90 3 Kryter K D 1962 Methods for the calculation and use of the Articulation Index in J Acoust Soc Am 34 11 pp 1689 1697 Kryter K D 1962 Validation of the Articulation Index in J Acoust Soc Am 34 11 pp 1668 4 Retrieved from https en wikipedia org w index php title Articulation Index amp oldid 1195797898, wikipedia, wiki, book, books, library,
