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CHAPTER 4 RESULTS

4.2 Valid canonical sibilant tokens

Table 4.2 presented the detailed distribution of all valid canonical sibilant tokens,

further subdivided by region (Taipei/Kaohsiung), gender (male/female), word class

(content/function), stress level (S0/S1/S2/S3), sibilant type (aspirated affricate/

fricative/unaspirated affricate), and place (retroflex/dental). An additional factor we

added into analyses was the vowel context, distinguishing whether the vowel following

the sibilant was rounded or unrounded. As shown in a number of previous studies (e.g.,

Jeng, 2006), the following rounded vowel context lowers the frequency of previous

sibilants due to coarticulation effects, and such lowering also effectively influences

listeners’ perception (Mann & Repp, 1980). Although vowel context is not the focus of

the present study, its effect on voiceless sibilants, particularly for acoustic studies, is

inevitable and should not be overlooked. Therefore, vowel context was taken as one

factor in our analysis, and all sibilants were categorized according to their vowel

contexts as well.

Table 4.2 The overall valid token distribution of (a) Taipei male (b) Taipei female (c) Kaohsiung male and (d) Kaohsiung female groups (R: retroflex; D:

dental; c: aspirated affricate; s: fricative; z: unaspirated affricate).

(a) Unrounded vowel context Rounded vowel context

c s z c s z

 

(b) Unrounded vowel context Rounded vowel context

c s z c s z

 

(c) Unrounded vowel context Rounded vowel context

c s z c s z

   

(d) Unrounded vowel context Rounded vowel context

c s z c s z

As can be seen from Table 4.2, the distribution of sibilant tokens was imbalanced.

As a result, our analyses were restricted to certain categories when different factors

were examined. In order to understand sibilant realizations as a whole, in our first

analysis, we investigated the effects of region, gender, stress, place, type and context.

Word class, unfortunately, could not be examined together because a lot of cells in the

function word condition lacked sufficient data. Therefore, the first analysis focused on

the content word condition. Furthermore, for the factor stress, not all categories could

be analyzed due to insufficiency of sibilant tokens. Therefore, in this analysis, only S2

and S3 conditions were compared.

A six-way ANOVA was executed, with region (Taipei/Kaohsiung), gender

(female/male), stress (S2/S3), place (retroflex/dental), type (c/s/z) and context

(rounded/unrounded) all as between-subject factors. Results reported significant main

effects of five factors [gender: F(1, 10564) = 16.17, p < .001; stress: F(1, 10564) =

62.93, p < .001; place: F(1, 10564) = 546.15, p < .001; type: F(2, 10564) = 4.95, p < .01;

context: F(1, 10564) = 1408.80, p < .001]. Ten two-way interactions were significant,

including region × gender [F(1, 10564) = 54.27, p < .001], region × stress [F(1, 10564)

= 5.02, p < .05], region × place [F(1, 10564) = 5.00, p < .05], region × context [F(1,

10564) = 27.20, p < .001], gender × place [F(1, 10564) = 139.74, p < .001], gender ×

type [F(2, 10564) = 27.20, p < .001], stress × place [F(1, 10564) = 27.72, p < .001],

place × type [F(2, 10564) = 7.43, p < .001], place × context [F(1, 10564) = 27.72, p

< .01], type × context [F(2, 10564) = 4.73, p < .01]. Additionally, there were six

significant three-way interactions [region × gender × place: F(1, 10564) = 30.21, p

< .001; region × gender × type: F(2, 10564) = 6.97, p < .001; region × stress × place:

F(1, 10564) = 4.23, p < .05; region × type × context: F(2, 10564) = 3.70, p < .05;

gender × type × context: F(2, 10564) = 6.56, p < .005; place × type × context: F(2,

10564) = 7.02, p < .001] and three significant four-way interactions [region × gender ×

place × type: F(2, 10564) = 6.49, p < .005; gender × stress × place × type: F(2, 10564)

= 5.46, p < .005; gender × place × type × context: F(2, 10564) = 7.09, p < .001]. Finally,

one significant five-way interaction was reported: region × gender × stress × place ×

type [F(2, 10564) = 3.45, p < .05].

Figure 4.9 presents the centroid frequency of all canonically realized sibilant

tokens in different conditions, and the error bars represented standard error. As can be

seen, the stress effect was realized differently in three sibilant types. For aspirated

affricate sibilants (c type), Kaohsiung speakers generally had better distinction of

retroflex and dental sibilants in the S3 condition by realizing dental sibilants with higher

frequency [t(240) = -4.42, p < .001]. Regardless of regional differences, stress effect

was significantly shown in female speakers. Specifically, dental sibilants were realized

higher in frequency as well [t(225) = -4.47, p < .001]. As for fricative sibilants (s type),

female speakers differed in how the retroflex/dental contrast was made. Taipei female

speakers did not make a distinction of retroflex and dental sibilants in terms of stress

difference, whereas Kaohsiung female speakers contrasted retroflex and dental sibilants

better in the S3 condition; post hoc independent t test reported that S3 dental sibilants

were significantly realized higher than S2 ones [t(130) = -3.33, p < .001]. The stress

patterns, on the other hand, were more similar for male speakers. In particular, dental

and retroflex sibilants were both realized higher in centroid frequency in the S3

condition [dental: t(420) = -4.99, p < .001; retroflex: t(2274) = -4.99, p < .05], but the

contrast made was larger. With regards to unaspirated affricate sibilants (z type), female

speakers in general exhibited greater distinction in S3 than in S2. In particular, dental

sibilants were realized higher and retroflex sibilants were realized lower in the S3

condition [dental: t(372) = -3.02, p < .01; retroflex: t(565) = -4.46, p < .001]. As for

male speakers, the stress effect was not significantly shown.

  Figure 4.9 The mean centroid frequency of three sibilant types (c: aspirated affricate; s:

fricative; z: unaspirated affricate) in the S2 and S3 conditions for speakers of both genders (F: females; M: males) from Taipei and Kaohsiung.

Cross-regional comparisons also revealed several interesting interaction effects. In

particular, for female speakers, Taipei female speakers had significantly lower retroflex

sibilants than Kaohsiung female speakers in the S2 condition [t(2671) = -12.45, p

< .001], but these two groups did not differ in sibilant realizations in the S3 condition.

The opposite pattern was observed for male speakers. Regardless of stress conditions,

Kaohsiung male speakers did larger sibilant contrasts than Taipei male speakers by

having lower retroflex sibilants in all three sibilant types [c: t(1022) = -8.68, p < .001; s:

t(2274) = -11.44, p < .001; z: t(1214) = -11.34, p < .001]. The effect of sibilant type was

particularly found for Taipei male speakers. Specifically, dental sibilants were

significantly higher than retroflex ones for aspirated affricates (c type) [t(766) = -3.26, p

< .005]; retroflex and dental sibilants did not differ significantly for fricatives (s type);

retroflex were, nonetheless, slightly higher than dental sibilants for unaspirated

affricates (z type) [t(1015) = -1.98, p < .05].

Moreover, gender differences were also found to effectively interact with the other

factors. For Taipei speakers, across sibilant types, female speakers had both higher

dental sibilants and lower retroflex sibilants than male speakers in the S2 condition

[dental: t(1148) = 2.52, p < .05; retroflex: t(3416) = -27.54, p < .001]. As for Kaohsiung

speakers, female speakers still made larger contrast, but both their retroflex and dental

sibilants were higher in centroid frequency than male speakers’ [dental: t(1122) = 3.63,

p < .001; retroflex: t(3024) = 2.07, p < .05]. In the S3 condition, however, sibilant type

came into play particularly for Taipei speakers. Females had only significantly lower

retroflex sibilants than males for aspirated affricates (c type) and fricatives (s type) [c:

t(166) = -5.41, p < .001; s: t(335) = -8.85, p < .001]. As for unaspirated affricates (z

type), females made larger contrast than males by having both higher dental sibilants

and lower retroflex sibilants [dental: t(112) = 3.24, p < .005; retroflex: t(227) = -6.32, p

< .001]. On the other hand, no gender interaction was reported for Kaohsiung speakers

in the S3 condition, illustrating that the sibilant contrast made by Kaohsiung female

speakers did not differ significantly from that made by Kaohsiung male speakers.

In our six-way ANOVA analysis, vowel context was shown to have interactions

with gender, place, and type. As shown in Figure 4.10, when followed by rounded

vowels, the centroid frequency of preceding sibilants was significantly lowered. Female

speakers showed significantly larger sibilant contrast in the unrounded condition than in

the rounded condition for both aspirated affricates (p = .054) and fricatives (p < .001).

The same trend was observed for male speakers as well (c: p < .001; s: p < .005). The

lack of larger contrast in unrounded vowel context for unaspirated affricates (z type)

was particularly due to the fact that in the unrounded vowel context, retroflex

unaspirated affricates had higher centroid frequency than the other sibilant types, for

both female speakers (c: p < .005; s: p < .001) and male speakers (c: p < .001; s: p

< .01).

Moreover, the differences between retroflex and dental sibilants were significantly

made by females for all sibilant types and in both vowel contexts. For male speakers, on

the contrary, all sibilant contrasts were made except one condition. That is, no

significant difference between retroflex and dental sibilants was reported for aspirated

affricates (c type) in the rounded vowel context.

  Figure 4.10 The mean centroid frequency of three sibilant types (c: aspirated affricate;

s: fricative; z: unaspirated affricate) followed by rounded and unrounded vowels of both female and male speakers.

4.3 Word class

Our analyses so far were all limited to content word data, and the comparison

between content words and function words was still not done yet. Therefore, in this

section, the word class effect was of focus. Again, due to the limitation of data

We first analyzed the data of S2 unaspirated affricates (z type) in the unrounded

vowel context. A four-way ANOVA with region (Taipei/Kaohsiung), gender

(female/male), word class (content/function) and place (retroflex/dental) as

between-subject factors was executed. Results showed significant main effects of all

four factors [region: F(1, 3456) = 11.78, p = .001; gender: F(1, 3456) = 4.75, p < .05;

word class: F(1, 3456) = 23.52, p < .001; place: F(1, 3456) = 229.60, p < .001]. Four

two-way interactions were significant, including gender × place [F(1, 3456) = 80.75, p

< .001], region × gender [F(1, 3456) = 124.77, p < .001], region × word class [F(1,

3456) = 3.87, p < .05] and place × word class [F(1, 3456) = 4.48, p < .05] . One

three-way interaction was reported [region × gender × place: F(1, 3456) = 68.77, p

< .001].

As shown in Figure 4.11, retroflex and dental sibilants were distinguished in both

content word and function word conditions [content: t(1989) = -12.61, p < .001;

function: t(1479) = -7.98, p < .001]. Moreover, for speakers from both regions, it was a

general trend that both retroflex and dental sibilants in the content word condition were

realized higher in frequency than those in the function word condition [retroflex: t(2235)

= 4.25, p < .001; dental: t(1233) = 5.48, p < .001]. As could be observed, the distinction

between retroflex and dental sibilants was made greater in the content word condition.

  Figure 4.11 The mean centroid frequency of content and function word unaspirated

affricates (z type) in unrounded vowel context of speakers from Taipei and Kaohsiung.

Our second analysis examined the data of S2 fricatives (s type) in the rounded

vowel context. Figure 4.12 shows the realizations of retroflex and dental sibilants in the

content word and function word conditions of the four speaker groups. As can be seen,

particularly for Taipei male speakers, retroflex sibilants were realized a lot higher than

dental sibilants in the function word condition. A closer examination of the distribution

of Taipei males’ sibilant tokens revealed that such a phenomenon actually resulted from

speaker variability. Table 4.3 gives the token number and the percentage of S2 fricatives

(s type) in the rounded vowel context contributed by each Taipei male speaker.

Specifically, in the function word condition, retroflex sibilant tokens were contributed

mainly by speaker CZX, while dental sibilants were contributed mostly by speakers

HSK and YYS. Figure 4.13 shows the mean frequency range of each Taipei male

speaker. As can be seen, the frequency ranges of CZX and JXW are about 2500 Hz

condition were mostly contributed by CZX, the mean centroid frequency was thus high.

On the other hand, HSK and YYS contributed about 85% of dental sibilant tokens in the

function word condition, thus leading to low centroid frequency. In this regard, when

analyzing S2 fricatives (s type) in the rounded vowel context, we only included data of

HSK and YYS in the function word condition for Taipei male speakers, owing to the

fact that these two speakers had more comparable frequency ranges and the total

retroflex and dental sibilant tokens of these two speakers were sufficient for analyses.

  Figure 4.12 The mean centroid frequency of content and function word fricatives (s

type) in the rounded vowel context of both female and male speakers from Taipei and Kaohsiung.

 

Table 4.3 The number and percentage (in paranthesis) of S2 fricative (s type) sibilant tokens in the rounded context contributed by each Taipei male speaker.

Speaker

Word class Place CZX HSK JXW YYS

Retroflex 108 (38%) 33 (12%) 65 (23%) 76 (27%) Content

Dental 24 (32%) 6 (8%) 15 (20%) 30 (40%) Retroflex 64 (65%) 1 (1%) 13 (13%) 21 (21%) Function

Dental 9 (12%) 30 (41%) 2 (3%) 33 (45%)

  Figure 4.13 The mean centroid frequency of content and function word fricatives (s

type) in the rounded vowel context of each Taipei male speaker.

Figure 4.14 presents the revised data after excluding speaker CZX and JXW from

Taipei male group. A four-way ANOVA with region (Taipei/Kaohsiung), gender

(female/male), word class (content/function) and place (retroflex/dental) as

between-subject factors was carried out. The main effects of region and place were

significant [region: F(1, 1413) = 43.24, p < .001; place: F(1,1413) = 130.40, p < .001].

There were two two-way interactions, including region × gender [F(1, 1413) = 18.00, p

interaction was reported [region × gender × place: F(1, 1413) = 7.56, p < .01]. None of

the four speaker groups showed significant effects of word class.

  Figure 4.14 The mean centroid frequency of content and function word fricatives (s

type) in the rounded vowel context, with speaker CZX and JXW excluded from Taipei male group.

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