Animal onomatopoeia: how accurate are they?

Adrian Lin
Adrian LinDesigner at adrianlin.com

A cross-linguistic study on the articulatory phonetics of onomatopoeia

Animal Onomatopoeia
How accurate are they?
Fall 2011
Ling120 Intro to Speech Analysis
Professor Jiahong Yuan
Student Adrian Lin
  2	
  
	
  
INTRODUCTION	
  ....................................................................................................................................................	
  3	
  
METHOD	
  ..................................................................................................................................................................	
  4	
  
RESULTS	
  ..................................................................................................................................................................	
  5	
  
CHART	
  1.	
  ....................................................................................................................................................................	
  5	
  
DOG	
  ............................................................................................................................................................................	
  6	
  
ROOSTER	
  ....................................................................................................................................................................	
  7	
  
DUCK	
  ..........................................................................................................................................................................	
  8	
  
FROG	
  ..........................................................................................................................................................................	
  9	
  
BEE	
  .............................................................................................................................................................................	
  9	
  
CAT	
  ..........................................................................................................................................................................	
  10	
  
COWS	
  .......................................................................................................................................................................	
  11	
  
CONCLUSION	
  &	
  DISCUSSION	
  ..........................................................................................................................	
  11	
  
REFERENCES	
  .......................................................................................................................................................	
  13	
  
APPENDIX	
  ............................................................................................................................................................	
  14	
  
A.1	
  DOG	
  ONOMATOPOEIA	
  MAP	
  .............................................................................................................................	
  14	
  
A.2	
  PIG	
  ONOMATOPOEIA	
  MAP	
  ...............................................................................................................................	
  14	
  
A.3	
  ROOSTER	
  ONOMATOPOEIA	
  MAP	
  .....................................................................................................................	
  15	
  
A4.	
  FROG	
  ONOMATOPOEIA	
  MAP	
  ............................................................................................................................	
  15	
  
A5.	
  CAT	
  ONOMATOPOEIA	
  MAP	
  ..............................................................................................................................	
  16	
  
  3	
  
ABSTRACT:
This study examines animal sounds and their onomatopoeic equivalents from a phonetic point
of view that may shed light on the process of human perception of animal sounds as well as
examining possible factors that affect perception. Data was gathered from video clips of
animals and speakers producing their languages’ onomatopoeic words and analyzed on Praat.
In addition, syntheses were created to see how closely the sounds could be reproduced based
on vowel formants. I hypothesized that mammals sounds were most easily replicated by human
languages and were similar cross-linguistically, but found that while two of the three cross-
linguistically similar onomatopoeia were of mammals, other mammals showed various degrees
of dissimilarity both cross-linguistically and with regards to the actual animal call. Because of
the nature of the methodology and time constraints, this study remains inconclusive but sheds
some light and raises questions on the role of physical relatedness and onomatopoeic sounds.
INTRODUCTION	
  
Each culture has onomatopoeia and a canonical way of representing animal sounds. Sometimes
these sounds are similar as in cows going “moo” in English and “mo” in Japanese, while at other
times they may differ radically such as roosters going “cock-a-doodle-doo” in English and
“wowowo” in Mandarin. In this project, I intend to examine the variety of animal sounds and
compare their onomatopoeic sounds cross-linguistically. Based on the formant analyses, I will
also examine whether certain features or animal classes may have an effect on onomatopoeia
matching actual animal sounds.
  4	
  
METHOD	
  
This project aims to analyze animal sounds and as well as their onomatopoeic counterparts in
various languages to determine if any acoustic similarity is present and to investigate which
factors may lead to similarities between animal utterances and onomatopoeia as well as
onomatopoeia cross-linguistically.
Animal sounds were selected based on perceived commonality and availability. Sites including
animal onomatopoeia were consulted to determine which sounds seemed most common. Next,
animal sound clips were gathered from online sources, mainly from the video-sharing site
YouTube.com. Animal sounds without significant background noise were the most optimal
sources for analysis, but suitable clips were difficult to acquire. In the end, eight animals were
selected: dogs, cats, pigs, cows, roosters, ducks, frogs, and bees.
The foreign language onomatopoeia tokens were selected by Internet availability for each of the
eight selected animal sounds. I chose to use only those onomatopoeia that I could find sound
files for, despite the large amount of written information on foreign language onomatopoeia,
which was used as a reference (Abbott, 2004). This was to ensure that phonetic similarities could
be more accurately determined, as written words do not always accurately indicate the actual
phonetic production. Also, sounds that were not in the language’s phonology were removed; thus
pulmonic ingressives and clicks, which existed in some videos, were assumed to not be a lexical
item, but a direct imitation of the animal sound. The total list of languages ended up as: Arabic,
Bengali, Dutch, English, French, German, Hindi, Hokkien, Indonesian, Italian, Japanese,
Korean, Mandarin, Romanian, Russian, Spanish, Tagalog, Turkish.
  5	
  
These sounds were then transcribed into narrow IPA and compared cross linguistically to find
patterns. If applicable, different onomatopoeic paradigms were constructed to categorized
different onomatopoeia. These were plotted on a map and geo-linguistic patterns were analyzed.
Finally, rudimentary syntheses based on formants in the animal clips were created for some
animal sounds in order to discover whether or not certain parts of the onomatopoeic sounds
could have been based on the formants in an animal’s utterance as well as to see any unexpected
formant or other articulatory difference reflected in the spectrograms of animal sounds.
Results	
  
Chart	
  1.	
   dog	
   cat	
   pig	
   cow	
   rooster	
   duck	
   bee	
   frog	
  
tagalog	
   aw	
  aw	
  
	
  
oink	
   mo	
   tik-­‐tilawk	
   kwak	
  
	
  
kokak	
  
indonesian	
   kʊk	
  kʊk	
   mɛɐ̃ŋ	
   ŋok	
  	
   mü	
   kukuruyuk	
   kwek	
   ŋuŋ	
   krok	
  
korean	
   mʌŋ	
   jaw	
   kɯɭɯ	
  	
  	
   ɯmme	
   kokioː	
   kwɛk	
  
	
  
kʰɛkɯɭ	
  
japanese	
   waɴ	
   nja	
  /njaɴ	
   bɯçi	
   moː	
   kokekokko	
   kuakku	
   bɯn	
   keɭo	
  
english	
   wʊf	
   mjaʊ	
   ojŋk	
   muː	
   kʰɒkʰədudl̩duː	
   kʰwæk	
   bʌz	
   rɪbɪt	
  
german	
   vʊf	
  	
   mjaw	
   gʁʊnts	
   muː	
   kikeriki	
   kʰwak	
   zʊm	
   kʰwak	
  
dutch	
   wɜf	
   mjaw	
   knor	
  	
   bubu	
   kʉkelekʉ	
  
	
   	
   	
  italian	
   baw	
   mjaw	
  
	
  
muu	
   kikiriki	
   kwak	
   zz	
   kra	
  kra	
  
french	
   waf	
   mjaw	
   gʁwã	
   mø	
   kokoriko	
  
	
  
bzz	
  
	
  spanish	
   ɣʷaw	
   mjaw	
  
	
  
muu	
   kikiriki	
  
	
  
bzz	
  
	
  romania	
   hɐm	
   mjaw	
   grʊf	
   mou	
  
	
   	
   	
   	
  russia	
   gav	
   mjaw	
   xrju	
   mu	
   kukareku	
  
	
   	
   	
  india	
  	
   baw	
  waw	
   mjaw	
  
	
  
bawwi	
   klʌk	
  klu	
  klʌk	
  
	
   	
   	
  bengali	
   ɡʰew	
   mew	
  	
  
	
  
hamba	
   molok	
  
	
   	
   	
  arabic	
   haw	
  	
   mjaw	
  
	
   	
  
bak	
  bvakgir	
  
	
  
zzt	
  
	
  turkish	
   haw	
  haw	
   mjaw	
  
	
  
møː	
   ʉ	
  ʉrʉ	
  ʉ	
  ʉː	
  
	
   	
   	
  mandarin	
   waŋ	
  waŋ	
   mjaw	
  
	
  
mow	
   ɔ	
  ɔ	
  ɔ	
  
	
   	
   	
  taiwanese	
   wɤŋ	
  wɤŋ	
   mjaw	
  
	
  
mow	
   kokokoo	
  
	
  
bʑʑ	
  
	
  
  6	
  
Dog
+cont[ ]( )
V
+back
!
"
#
$
%
& +cont[ ] eg. [waŋ]
While dog sounds could all be analyzed into the structure above, several subdivisions seem to
exist which have greater within-group similarities than between-group similarities, especially
given the geo-linguistic ties within these groups (see appendix A1).
1. West Germanic + French:
LAB
+cont
!
"
#
$
%
&
V
+back
!
"
#
$
%
& f[ ] eg. [wʊf]
2. East Asian Sprachbund:
LAB
+cont
!
"
#
$
%
&
V
+back
!
"
#
$
%
&
DOR
+nasal
!
"
#
$
%
& eg. [wɤŋ]
3. Scattered languages: (C) [aʊ] eg. [baʊ]
Three dog barks are shown in the spectrogram below. F2 and F3 generally seem to fall while F1
exhibits a slight rising and falling tendency, most clearly in the third bark. In addition, the
intensity seems to fall just before F1 falls in frequency, with the darkest energy bands happening
in the front. Without any noticeable difference in the background grey bands, it seems this most
closely resembles a low to high diphthong, something like /aw/. Indeed, the synthesis based on
these formants produced a low to high rising diphthong [aɰ]. Thus, an onset-less category 3 type
sound seems most similar.
	
  
	
  
  7	
  
Pigs
DOR
+voice
!
"
#
$
%
& rhotic[ ]
LAB
−cons
!
"
#
$
%
&(C)(C)(C)
(see appendix A2)
eg. [gʁwã]
Pig sounds varied significantly. In addition, the spectrogram contained various phenomena other
mammals did not exhibit such as creakiness, shown by lines in the energy, and a static F1 that
mirrored closely the F2. Removing F1 from the synthesis created a sound similar to [əәi]. No
nasals can be clearly seen, nor final or initial consonant-like sounds. Also interesting is that the
higher formants seem to have successively later voice onset times. This analysis remains
inconclusive although the vowel indicated by formants and the synthesis points to an [oiŋk].
Rooster
	
  
[[k]V]σ [[k]V]σ [[liquid]V]σ [[k]V]σ (see appendix A3) eg. [kokoriko]
The rooster’s sound seems to have an overall syllabic shape cross-linguistically with three or
four syllables. This is reflected in the dips in intensity at specific parts. These dips in intensity
co-occur with slight dips in frequency. The large blank area with massively dipping intensity in
the beginning also may be interpreted as a stop, which lends support to the “cock-a-doodle-doo”
of English onomatopoeia. Another point of interest is that so many languages have a k as onsets
  8	
  
for each of these syllables, but given the geolinguistic ties, it may be loan word influence.
Another interesting finding is in the South Asian and Southeast Asian regions, several languages
represented the rooster’s call with a closed syllable with coda [k], despite the last part of the
spectrogram showing the clearest signs of pure vowel formants. The synthesis based on vowel
frequencies of F1 and F2 yielded a sound akin to [ɐ].
	
  
	
  
	
  
	
  
	
  
	
  
	
  
Duck
k[ ] w[ ]
V
−high
"
#
$
%
&
' k[ ] eg. [kwak]
The duck sounds exhibited an amazing degree of similarity with the majority of difference
existing solely in vowel height from [e] to [a] and aspiration of the velar stops. The below
spectrogram demonstrates this, showing a clear F2 and F3 transitioning from a single point into
two clear formants, along with a slight frication band of energy in higher frequencies. F1 also
appears as an arced band of faint energy. While a final velar pinch is not clearly seen, the
formants move in that position. Also, there is not a frication, but as in human speech, and also
  9	
  
because of the information-carrying capabilities of formant transitions, the sound is likely to
cause humans to perceive a [k]. Why there is a [w] glide is not as clear.
Frog
Western European Sprachbund:
DOR
−son
−cont
"
#
$
$
$
%
&
'
'
'
+son
−nasal
"
#
$
%
&
' V[ ]
DOR
−son
−cont
"
#
$
$
$
%
&
'
'
'
(see appendix A4)
eg. [kroʊk]
Another interesting phenomenon is the frog croak, which cross linguistically is commonly
treated as another [k] sound. Here, we also see a velar pinch in both ends of the utterance as well
as lines showing a creaky voice. However, an [r] or [w] is not as visible since F2 and F3 stay
stable after transitions. It is possible that one of the other sounds is more accurate.
Bee
LAB
−cont
"
#
$
%
&
'V z[ ] eg. [bʌz]
Bee sounds are rather uniform with a voiced coronal fricative in all onomatopoeia found. Despite
the sound being produced not orally, but by the beating wings, the source is still turbulence and
therefore acoustically is similar. The initial [b] in many onomatopoeia could be the interpretation
  10	
  
of the acceleration of the wings before full speed, as a lower frequency is characteristic of labials
and therefore it may be perceived as a labial.
Cat
+nasal[ ] j[ ] V[ ]
−cons
+round
"
#
$
%
&
'
(see appendix A5)
eg. [mjaʊ]
Cats had a very similar onomatopoeic representation throughout the world, with the vast majority
of languages all phonetically representating their cries as [mjaʊ]. If we look at the spectrogram,
it appears that the diphthong [aʊ] is quite clear in the formant movement, and the initial rising
band of energy may hint at a perceivable [j]. The nasal is less clear, although there is a faint band
of energy that is both visible and being picked up that may be nasal damping effects and thus
hint at a nasal onset.
	
  
	
  
  11	
  
Cows
m[ ]
V
+back
+round
+long
!
"
#
#
#
#
$
%
&
&
&
&
eg. [mu]
Cows similarly had near universal onomatopoeia. The spectrogram too showed most clearly the
possible reasons for this similarity. Clear formants gave a pure long vowel. The synthesis gave a
vowel similar to [ɒ], but I suspect that the sound is typically is given an [u] or [o] sound in
onomatopoeia because of the nasality seen in the beginning of the call heard throughout the
vowel. The nasal qualities may have effects on perception.
CONCLUSION	
  &	
  DISCUSSION	
  
In conclusion, I found that the closest phonetic representations of animal sounds did not line up
as closely with biological similarity. Cats and cows, both mammals, had near universally similar
onomatopoeia which closely paralleled the spectrogram formant patterns. However, ducks,
which are not mammals, produced sounds that were similarly near identical with spectrogram
readings that did contain recognizable features. Less universal were dogs, roosters, and bees,
none of which were from the same animal family but showed a medium amount of phonetic
  12	
  
features cross-linguistically although these were not necessarily as traceable to the actual
spectrograms as the animals with the most similar onomatopoeia. Lastly, pigs and frogs showed
a high degree of variability with only one or two similar features: the [k] sounds with frogs.
The presence of mammals in various tiers of onomatopoeic similarities does not lend support to
genetic and physiological similarity as a factor. Still, as this was a phonetics study, it could be
that the assumption that similar genetics would mean similar physiology would need more
justification as it could be that certain animals even within the same family could have evolved
apart in the vocal tract area, or converged despite being in different evolutionary trees. Indeed,
this may be the reason why some of the syntheses had acoustic productions that differed from the
animal sound expected or suggested by the majority of surveyed languages.
A further area of study is whether or not certain sound patterns in animal calls are more easily
perceived. For example, both cows and cats share nasality in their onomatopoeia and this nasality
can be seen somewhat in the spectrograms, while pig and frog calls both exhibit creakiness.
  13	
  
REFERENCES	
  
Abbott, D. (2004). Animal Sounds. Retrieved from
http://www.eleceng.adelaide.edu.au/personal/dabbott/animal.html
ESL Web. (ND). Hear What?: Animal Sounds in different languages. Retrieved from
http://www.esl-languages.com/en/animal-sounds.htm
Funnysexy0624. (2, Nov, 2010). My Korean Boyfriend: Korean animal sounds. Retrieved from
http://www.youtube.com/watch?v=IfN6tYHJWZU
Immsl. (21, Aug, 2009). A Bee Buzz At My Sitting Room. (Very Noisy Buzz). Retrieved from
http://www.youtube.com/watch?v=LsDM-ktYLsc
Keirmorse. (1, May, 2007). Pacific Tree Frog. Retrieved from
http://www.youtube.com/watch?v=XcFKQKjv0-o
Kidslearningvideo.(30, Aug, 2010). Farm Animal Sounds. Retrieved from
http://www.youtube.com/watch?v=vuiwA4Ne_pU
Properniceinnit. (ND). Bow Wow Meow – Animal Sounds in Different Languages. Retrieved
from http://vimeo.com/25215616
WoodGirl14. (20, Oct, 2009). Animal sounds in Japanese, Indonesian, German, Italian.
Retrieved from http://www.youtube.com/watch?v=CEpudI87Pew
  14	
  
APPENDIX
A.1	
  Dog	
  onomatopoeia	
  map	
  
A.2	
  Pig	
  onomatopoeia	
  map	
  
  15	
  
A.3	
  Rooster	
  onomatopoeia	
  map	
  
	
  
A4.	
  Frog	
  onomatopoeia	
  map	
  
  16	
  
A5.	
  Cat	
  onomatopoeia	
  map	
  

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Animal onomatopoeia: how accurate are they?

  • 1. Animal Onomatopoeia How accurate are they? Fall 2011 Ling120 Intro to Speech Analysis Professor Jiahong Yuan Student Adrian Lin
  • 2.   2     INTRODUCTION  ....................................................................................................................................................  3   METHOD  ..................................................................................................................................................................  4   RESULTS  ..................................................................................................................................................................  5   CHART  1.  ....................................................................................................................................................................  5   DOG  ............................................................................................................................................................................  6   ROOSTER  ....................................................................................................................................................................  7   DUCK  ..........................................................................................................................................................................  8   FROG  ..........................................................................................................................................................................  9   BEE  .............................................................................................................................................................................  9   CAT  ..........................................................................................................................................................................  10   COWS  .......................................................................................................................................................................  11   CONCLUSION  &  DISCUSSION  ..........................................................................................................................  11   REFERENCES  .......................................................................................................................................................  13   APPENDIX  ............................................................................................................................................................  14   A.1  DOG  ONOMATOPOEIA  MAP  .............................................................................................................................  14   A.2  PIG  ONOMATOPOEIA  MAP  ...............................................................................................................................  14   A.3  ROOSTER  ONOMATOPOEIA  MAP  .....................................................................................................................  15   A4.  FROG  ONOMATOPOEIA  MAP  ............................................................................................................................  15   A5.  CAT  ONOMATOPOEIA  MAP  ..............................................................................................................................  16  
  • 3.   3   ABSTRACT: This study examines animal sounds and their onomatopoeic equivalents from a phonetic point of view that may shed light on the process of human perception of animal sounds as well as examining possible factors that affect perception. Data was gathered from video clips of animals and speakers producing their languages’ onomatopoeic words and analyzed on Praat. In addition, syntheses were created to see how closely the sounds could be reproduced based on vowel formants. I hypothesized that mammals sounds were most easily replicated by human languages and were similar cross-linguistically, but found that while two of the three cross- linguistically similar onomatopoeia were of mammals, other mammals showed various degrees of dissimilarity both cross-linguistically and with regards to the actual animal call. Because of the nature of the methodology and time constraints, this study remains inconclusive but sheds some light and raises questions on the role of physical relatedness and onomatopoeic sounds. INTRODUCTION   Each culture has onomatopoeia and a canonical way of representing animal sounds. Sometimes these sounds are similar as in cows going “moo” in English and “mo” in Japanese, while at other times they may differ radically such as roosters going “cock-a-doodle-doo” in English and “wowowo” in Mandarin. In this project, I intend to examine the variety of animal sounds and compare their onomatopoeic sounds cross-linguistically. Based on the formant analyses, I will also examine whether certain features or animal classes may have an effect on onomatopoeia matching actual animal sounds.
  • 4.   4   METHOD   This project aims to analyze animal sounds and as well as their onomatopoeic counterparts in various languages to determine if any acoustic similarity is present and to investigate which factors may lead to similarities between animal utterances and onomatopoeia as well as onomatopoeia cross-linguistically. Animal sounds were selected based on perceived commonality and availability. Sites including animal onomatopoeia were consulted to determine which sounds seemed most common. Next, animal sound clips were gathered from online sources, mainly from the video-sharing site YouTube.com. Animal sounds without significant background noise were the most optimal sources for analysis, but suitable clips were difficult to acquire. In the end, eight animals were selected: dogs, cats, pigs, cows, roosters, ducks, frogs, and bees. The foreign language onomatopoeia tokens were selected by Internet availability for each of the eight selected animal sounds. I chose to use only those onomatopoeia that I could find sound files for, despite the large amount of written information on foreign language onomatopoeia, which was used as a reference (Abbott, 2004). This was to ensure that phonetic similarities could be more accurately determined, as written words do not always accurately indicate the actual phonetic production. Also, sounds that were not in the language’s phonology were removed; thus pulmonic ingressives and clicks, which existed in some videos, were assumed to not be a lexical item, but a direct imitation of the animal sound. The total list of languages ended up as: Arabic, Bengali, Dutch, English, French, German, Hindi, Hokkien, Indonesian, Italian, Japanese, Korean, Mandarin, Romanian, Russian, Spanish, Tagalog, Turkish.
  • 5.   5   These sounds were then transcribed into narrow IPA and compared cross linguistically to find patterns. If applicable, different onomatopoeic paradigms were constructed to categorized different onomatopoeia. These were plotted on a map and geo-linguistic patterns were analyzed. Finally, rudimentary syntheses based on formants in the animal clips were created for some animal sounds in order to discover whether or not certain parts of the onomatopoeic sounds could have been based on the formants in an animal’s utterance as well as to see any unexpected formant or other articulatory difference reflected in the spectrograms of animal sounds. Results   Chart  1.   dog   cat   pig   cow   rooster   duck   bee   frog   tagalog   aw  aw     oink   mo   tik-­‐tilawk   kwak     kokak   indonesian   kʊk  kʊk   mɛɐ̃ŋ   ŋok     mü   kukuruyuk   kwek   ŋuŋ   krok   korean   mʌŋ   jaw   kɯɭɯ       ɯmme   kokioː   kwɛk     kʰɛkɯɭ   japanese   waɴ   nja  /njaɴ   bɯçi   moː   kokekokko   kuakku   bɯn   keɭo   english   wʊf   mjaʊ   ojŋk   muː   kʰɒkʰədudl̩duː   kʰwæk   bʌz   rɪbɪt   german   vʊf     mjaw   gʁʊnts   muː   kikeriki   kʰwak   zʊm   kʰwak   dutch   wɜf   mjaw   knor     bubu   kʉkelekʉ        italian   baw   mjaw     muu   kikiriki   kwak   zz   kra  kra   french   waf   mjaw   gʁwã   mø   kokoriko     bzz    spanish   ɣʷaw   mjaw     muu   kikiriki     bzz    romania   hɐm   mjaw   grʊf   mou          russia   gav   mjaw   xrju   mu   kukareku        india     baw  waw   mjaw     bawwi   klʌk  klu  klʌk        bengali   ɡʰew   mew       hamba   molok        arabic   haw     mjaw       bak  bvakgir     zzt    turkish   haw  haw   mjaw     møː   ʉ  ʉrʉ  ʉ  ʉː        mandarin   waŋ  waŋ   mjaw     mow   ɔ  ɔ  ɔ        taiwanese   wɤŋ  wɤŋ   mjaw     mow   kokokoo     bʑʑ    
  • 6.   6   Dog +cont[ ]( ) V +back ! " # $ % & +cont[ ] eg. [waŋ] While dog sounds could all be analyzed into the structure above, several subdivisions seem to exist which have greater within-group similarities than between-group similarities, especially given the geo-linguistic ties within these groups (see appendix A1). 1. West Germanic + French: LAB +cont ! " # $ % & V +back ! " # $ % & f[ ] eg. [wʊf] 2. East Asian Sprachbund: LAB +cont ! " # $ % & V +back ! " # $ % & DOR +nasal ! " # $ % & eg. [wɤŋ] 3. Scattered languages: (C) [aʊ] eg. [baʊ] Three dog barks are shown in the spectrogram below. F2 and F3 generally seem to fall while F1 exhibits a slight rising and falling tendency, most clearly in the third bark. In addition, the intensity seems to fall just before F1 falls in frequency, with the darkest energy bands happening in the front. Without any noticeable difference in the background grey bands, it seems this most closely resembles a low to high diphthong, something like /aw/. Indeed, the synthesis based on these formants produced a low to high rising diphthong [aɰ]. Thus, an onset-less category 3 type sound seems most similar.    
  • 7.   7   Pigs DOR +voice ! " # $ % & rhotic[ ] LAB −cons ! " # $ % &(C)(C)(C) (see appendix A2) eg. [gʁwã] Pig sounds varied significantly. In addition, the spectrogram contained various phenomena other mammals did not exhibit such as creakiness, shown by lines in the energy, and a static F1 that mirrored closely the F2. Removing F1 from the synthesis created a sound similar to [əәi]. No nasals can be clearly seen, nor final or initial consonant-like sounds. Also interesting is that the higher formants seem to have successively later voice onset times. This analysis remains inconclusive although the vowel indicated by formants and the synthesis points to an [oiŋk]. Rooster   [[k]V]σ [[k]V]σ [[liquid]V]σ [[k]V]σ (see appendix A3) eg. [kokoriko] The rooster’s sound seems to have an overall syllabic shape cross-linguistically with three or four syllables. This is reflected in the dips in intensity at specific parts. These dips in intensity co-occur with slight dips in frequency. The large blank area with massively dipping intensity in the beginning also may be interpreted as a stop, which lends support to the “cock-a-doodle-doo” of English onomatopoeia. Another point of interest is that so many languages have a k as onsets
  • 8.   8   for each of these syllables, but given the geolinguistic ties, it may be loan word influence. Another interesting finding is in the South Asian and Southeast Asian regions, several languages represented the rooster’s call with a closed syllable with coda [k], despite the last part of the spectrogram showing the clearest signs of pure vowel formants. The synthesis based on vowel frequencies of F1 and F2 yielded a sound akin to [ɐ].               Duck k[ ] w[ ] V −high " # $ % & ' k[ ] eg. [kwak] The duck sounds exhibited an amazing degree of similarity with the majority of difference existing solely in vowel height from [e] to [a] and aspiration of the velar stops. The below spectrogram demonstrates this, showing a clear F2 and F3 transitioning from a single point into two clear formants, along with a slight frication band of energy in higher frequencies. F1 also appears as an arced band of faint energy. While a final velar pinch is not clearly seen, the formants move in that position. Also, there is not a frication, but as in human speech, and also
  • 9.   9   because of the information-carrying capabilities of formant transitions, the sound is likely to cause humans to perceive a [k]. Why there is a [w] glide is not as clear. Frog Western European Sprachbund: DOR −son −cont " # $ $ $ % & ' ' ' +son −nasal " # $ % & ' V[ ] DOR −son −cont " # $ $ $ % & ' ' ' (see appendix A4) eg. [kroʊk] Another interesting phenomenon is the frog croak, which cross linguistically is commonly treated as another [k] sound. Here, we also see a velar pinch in both ends of the utterance as well as lines showing a creaky voice. However, an [r] or [w] is not as visible since F2 and F3 stay stable after transitions. It is possible that one of the other sounds is more accurate. Bee LAB −cont " # $ % & 'V z[ ] eg. [bʌz] Bee sounds are rather uniform with a voiced coronal fricative in all onomatopoeia found. Despite the sound being produced not orally, but by the beating wings, the source is still turbulence and therefore acoustically is similar. The initial [b] in many onomatopoeia could be the interpretation
  • 10.   10   of the acceleration of the wings before full speed, as a lower frequency is characteristic of labials and therefore it may be perceived as a labial. Cat +nasal[ ] j[ ] V[ ] −cons +round " # $ % & ' (see appendix A5) eg. [mjaʊ] Cats had a very similar onomatopoeic representation throughout the world, with the vast majority of languages all phonetically representating their cries as [mjaʊ]. If we look at the spectrogram, it appears that the diphthong [aʊ] is quite clear in the formant movement, and the initial rising band of energy may hint at a perceivable [j]. The nasal is less clear, although there is a faint band of energy that is both visible and being picked up that may be nasal damping effects and thus hint at a nasal onset.    
  • 11.   11   Cows m[ ] V +back +round +long ! " # # # # $ % & & & & eg. [mu] Cows similarly had near universal onomatopoeia. The spectrogram too showed most clearly the possible reasons for this similarity. Clear formants gave a pure long vowel. The synthesis gave a vowel similar to [ɒ], but I suspect that the sound is typically is given an [u] or [o] sound in onomatopoeia because of the nasality seen in the beginning of the call heard throughout the vowel. The nasal qualities may have effects on perception. CONCLUSION  &  DISCUSSION   In conclusion, I found that the closest phonetic representations of animal sounds did not line up as closely with biological similarity. Cats and cows, both mammals, had near universally similar onomatopoeia which closely paralleled the spectrogram formant patterns. However, ducks, which are not mammals, produced sounds that were similarly near identical with spectrogram readings that did contain recognizable features. Less universal were dogs, roosters, and bees, none of which were from the same animal family but showed a medium amount of phonetic
  • 12.   12   features cross-linguistically although these were not necessarily as traceable to the actual spectrograms as the animals with the most similar onomatopoeia. Lastly, pigs and frogs showed a high degree of variability with only one or two similar features: the [k] sounds with frogs. The presence of mammals in various tiers of onomatopoeic similarities does not lend support to genetic and physiological similarity as a factor. Still, as this was a phonetics study, it could be that the assumption that similar genetics would mean similar physiology would need more justification as it could be that certain animals even within the same family could have evolved apart in the vocal tract area, or converged despite being in different evolutionary trees. Indeed, this may be the reason why some of the syntheses had acoustic productions that differed from the animal sound expected or suggested by the majority of surveyed languages. A further area of study is whether or not certain sound patterns in animal calls are more easily perceived. For example, both cows and cats share nasality in their onomatopoeia and this nasality can be seen somewhat in the spectrograms, while pig and frog calls both exhibit creakiness.
  • 13.   13   REFERENCES   Abbott, D. (2004). Animal Sounds. Retrieved from http://www.eleceng.adelaide.edu.au/personal/dabbott/animal.html ESL Web. (ND). Hear What?: Animal Sounds in different languages. Retrieved from http://www.esl-languages.com/en/animal-sounds.htm Funnysexy0624. (2, Nov, 2010). My Korean Boyfriend: Korean animal sounds. Retrieved from http://www.youtube.com/watch?v=IfN6tYHJWZU Immsl. (21, Aug, 2009). A Bee Buzz At My Sitting Room. (Very Noisy Buzz). Retrieved from http://www.youtube.com/watch?v=LsDM-ktYLsc Keirmorse. (1, May, 2007). Pacific Tree Frog. Retrieved from http://www.youtube.com/watch?v=XcFKQKjv0-o Kidslearningvideo.(30, Aug, 2010). Farm Animal Sounds. Retrieved from http://www.youtube.com/watch?v=vuiwA4Ne_pU Properniceinnit. (ND). Bow Wow Meow – Animal Sounds in Different Languages. Retrieved from http://vimeo.com/25215616 WoodGirl14. (20, Oct, 2009). Animal sounds in Japanese, Indonesian, German, Italian. Retrieved from http://www.youtube.com/watch?v=CEpudI87Pew
  • 14.   14   APPENDIX A.1  Dog  onomatopoeia  map   A.2  Pig  onomatopoeia  map  
  • 15.   15   A.3  Rooster  onomatopoeia  map     A4.  Frog  onomatopoeia  map  
  • 16.   16   A5.  Cat  onomatopoeia  map