Description Usage Arguments Details Value Author(s) References See Also Examples
Compute the Speech Intelligibility Index (SII) described by ANSI specification S3.5-1997, including extensions for conductive hearing loss. Optionally apply interpolation obtain values for the required frequencies.
1 2 3 4 5 6 7 8 9 10 11 12 13 | sii(speech = c("normal", "raised", "loud", "shout"),
noise, threshold, loss, freq,
method = c("critical", "equal-contributing",
"one-third octave", "octave"),
importance = c("SII", "NNS", "CID22", "NU6", "DRT",
"ShortPassage", "SPIN", "CST"),
interpolate=FALSE)
## S3 method for class 'SII'
print(x, digits=3, ...)
## S3 method for class 'SII'
plot(x, ...)
## S3 method for class 'SII'
summary(object, digits=2, ...)
|
speech |
Either a numeric vector providing E'[i], the
equivalent speech spectrum level (in dB) at each frequency, or a
character string indicating the stated vocal effort corresponding to
one of the standard standard speech spectrum levels ("normal",
"raised", "loud", "shout"). Defaults to |
noise |
A numeric vector providing N'[i], the equivalent noise spectrum level (in dB) at each frequency. If missing, defaults to -50 dB for each frequency. |
threshold |
A numeric vector providing T'[i], the equivalent hearing threshold level (in dB) at each frequency. If missing, defaults to 0 dB for each frequency. |
loss |
A numeric vector providing J'[i], the conductive hearing loss level (in dB) at each frequency. If missing, defaults to 0 dB for each frequency. |
freq |
Vector of frequencies for which |
method |
A character string specifying the SII calculation method ("critical", "one-third octave", "equal-contributing", "octave") |
importance |
Either a numeric vector providing F[i],
the transfer function (importance weights) at each frequency, or a
character string indicating which transfer function to employ
("SII", "NNS", "CID22", "NU6", "DRT", "ShortPassage", "SPIN",
"CST"). Defaults to the standard SII transfer function,
|
interpolate |
Logical flag indicating whether to interpolate from the provide measurement values and frequencies to those required by the specified method via linear interpolation on the log scale. |
object,x |
SII object |
digits |
Number of digits to display |
... |
Optional arguments to |
American National Standard ANSI S3.5-1997 ("Methods for Calculation of the Speech Intelligibility Index") defines a method for computing a physical measure that is highly correlated with the intelligibility of speech as evaluated by speech perception tests given a group of talkers and listeners. This measure is called the Speech Intelligibility Index, or SII. The SII is calculated from acoustical measurements of speech and noise.
The sii
function implements ANSI S3.5-1997 as described in
the standard, without any attempt to optimize the performance. The
implementation does, however, include the extension for handling
conductive hearing loss from Annex A (utilizing the optional
loss
argument), and for utilizing alternative band weights
(i.e. transfer function) appropriate for differing message contents
(e.g. types of speech) as described in Annex B or user-specified
band weights (utilizing the optional argument importance
).
Further, this implementation provides a mechanism for
interpolating/extrapolating available measurements to those required
for the specified calculation procedure. When
interpolate=TRUE
, required values for speech
,
noise
, threshold
, and loss
will be computed
using linear interpolation (of the log-scaled data). In this case,
missing values may be provided and will be appropriately
interpolated.
The return value is an object of class SII, containing the following components:
call |
Function call used to generate the SII object |
orig |
List containing original (pre-extrapolation) values for
|
speech, noise, threshold, loss, and freq |
Values used in calculations (extrapolated if necessary) |
table |
SII calculation worksheet, containing columns corresponding to both Table C.1 and C.2 in Annex C of the standard. Table columns are
|
sii |
Calculated SII value |
Gregory R. Warnes greg@warnes.net
ANSI S3.5-1997, "American National Standard Methods for Calculation of the Speech Intelligibility Index" American National Standards Institute, New York.
Other software programs for calculating SII are available from http://www.sii.to/html/programs.html.
SII Constants: critical
, and
sic.critical
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | ## Example C.1 from ANSI S3.5-1997 Annex C
sii.C1 <- sii(
speech = c(50.0, 40.0, 40.0, 30.0, 20.0, 0.0),
noise = c(70.0, 65.0, 45.0, 25.0, 1.0,-15.0),
threshold= c( 0.0, 0.0, 0.0, 0.0, 0.0, 0.0),
method="octave"
)
sii.C1 # rounded to 2 digits by default
print(sii.C1$sii, digits=20) # full precision
summary(sii.C1) # full details
plot(sii.C1) # plot
## The value given in the Standard is $0.504$.
## Same calculation, but manually specify the frequencies
## and importance function, and use default for threshold
sii.C1 <- sii(
speech = c(50.0, 40.0, 40.0, 30.0, 20.0, 0.0),
noise = c(70.0, 65.0, 45.0, 25.0, 1.0,-15.0),
method="octave",
freq=c(250, 500, 1000, 2000, 4000, 8000),
importance=c(0.0617, 0.1671, 0.2373, 0.2648, 0.2142, 0.0549)
)
sii.C1
## Now perform the calculation using frequency weights for the Connected
## Speech Test (CST)
sii.CST <- sii(
speech = c(50.0, 40.0, 40.0, 30.0, 20.0, 0.0),
noise = c(70.0, 65.0, 45.0, 25.0, 1.0,-15.0),
method="octave",
importance="CST"
)
round(sii.CST$table[,-c(5:7,13)],2)
sii.CST$sii
## Example C.2 from ANSI S3.5-1997 Annex C
sii.C2 <- sii(
speech = rep(54.0, 18),
noise = c(40.0, 30.0, 20.0, rep(0, 18-3) ),
threshold= rep(0.0, 18),
method="one-third"
)
sii.C2$table[1:3,1:8]
sii.C2
## Interpolation example, for 8 frequencies using NU6 importance
## weight, default values for noise.
sii.left <- sii(
speech="raised",
threshold=c(25,25,30,35,45,45,55,60),
freq=c(250, 500, 1000, 2000, 3000, 4000, 6000, 8000),
method="critical",
importance="NU6",
interpolate=TRUE
)
sii.left
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.