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Vowel Dispersion As a Cue for Prominence in Sora

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Vowel Dispersion As a Cue for Prominence in Sora VOWEL DISPERSION AS A CUE FOR PROMINENCE IN SORA Luke Horo Living Tongues Institute for Endangered Languages [email protected] ABSTRACT in terms of its physical attributes only and examines the correlation of syllable prominence with vowel This paper proposes that vowel dispersion is di- dispersion. rectly correlated to prominence in Sora, a South In the typology of Austroasiatic languages, word Munda language of the Austroasiatic language fam- stress in is often related to the presence of a unique ily. Prominence in Sora is known to be marked by syllable type known as ‘sesquisyllable’. Presence duration, intensity and f0. This paper provides ev- of sesquisyllabic word prosody is reported to be idence that vowel dispersion is also correlated with atypical to Austroasiatic languages as well as to prominence in Sora. Data comes from the speech of many other languages spoken in Southeast Asia twenty-five male and twenty-five female Sora speak- [15]. On the other hand, it is argued by Donegan [6] ers, recorded in Assam and Odisha of India while and Donegan and Stampe [7, 8] that sesquisyllabic performing speech production tasks in the field. The word prosody is lacking in the Munda branch of analysis is based on formant frequency measure- the Austroasiatic language family. Evidences sug- ments and statistical measurements of Euclidean gest that sesquisyllabic words once existed in proto distance. Results reveal that formant frequencies of Munda, but the modern Munda languages lost it due all vowels in the prominent syllable change relative to rhythmic and syntactic reorganization in various to vowels in the non-prominent syllable. Also, ex- languages. However, Anderson and Zide [4] and pansion/compression of vowel space is shown to be Anderson [2] propose that phonological words in affected by this phenomena. Finally, results are dis- Munda languages exhibit iambic stress and they ar- cussed in the light of lesser described syllable prop- gue that the iambic stress resembles to the sesquisyl- erties in Munda languages and conflicting views of lable word prosody of non-Munda Austroasiatic lan- sesquisyllables in Austroasiatic languages. guages. Significantly, this is also evident in Sora (a Keywords: Vowel, Dispersion, Prominence, Munda language of the Austroasiatic family) which Munda, Austroasiatic). has a basic (C)V(C).(C)V(C) syllable structure and prominence marked by duration, intensity and f 0 is 1. INTRODUCTION always present on the second syllable [10]. Thus, this work provides further evidence that prominence Prominence is a perceptual property of speech which in the second syllable of Sora can also be correlated is used to indicate salience, focus, contrast or em- with the vowel dispersion. phasis. Also, the word ‘stress’ is used to define similar attributes of speech. In this regard, Kohler 2. METHODS [12] mentions that, while there can be three differ- ent referents of stress, an important referent of stress 2.1. Database is syllable prominence which refers to the physical attributes of stress. Thus, it is suggested that sylla- Sora text corpus used in this work includes disyl- bles are the units that bear prominence and that their labic lexical data compiled from various sources. properties are detectable. Generally, prominence in The primary sources are Hora and Sarmah [10], Ra- a syllable is detectable from the effects it has on mamurti [16] and Anderson and Harrison [3]. Text the segments that constitute the syllable. This im- data compiled from these sources consists only di- plies a systematic variance across syllables in terms syllables that also represent vowel minimal sets and of different acoustic cues of syllable prominence. consonant minimal sets. Taking all these data to- Accordingly, there are evidences that longer vowel gether, a total of 1160 Sora lexical items is compiled duration, higher pitch (f 0) and greater acoustic en- in this work. ergy (intensity) are the acoustic correlates of promi- Subsequently, Sora speech data is generated by nence in languages of the world [9]. Hence, follow- recording the cumulative text corpus through field ing Kohler [12] this paper also refers to prominence studies that were conducted in Assam and Odisha. During the field study, all the participants were struents and onset of the glottal pulse of the follow- recorded saying every word once in isolation and ing vowel and sonorant consonants are marked be- once in the sentence frame ‘ñen ____ gamlai’ trans- tween the beginning and end of weaker formants. lated as ‘I ____ said’. The speakers were recorded Acoustic measurement of the vowels is based on with a Shure unidirectional head-worn microphone formant frequencies of the first two formants (F1 connected to a Tascam linear PCM recorder via xlr and F2). Formant frequencies for F1 and F2 are ex- jack. The sampling frequency was 44.1 kHz, 24 bit tracted at vowel midpoints for steady state formants in WAV format. using a script for Praat. Also, in order to show the perceptual distances between the vowels [13], for- 2.2. Participants mant frequency values for F1 and F2 are converted from Hertz to Mel using an inbuilt function in Praat. The Sora speech database is built by recording 50 Additionally, in order to control the variation in native Sora speakers including 40 Sora speakers of formant frequencies caused due to the speaker’s Assam and 10 Sora speakers of Odisha. Both male physiological differences, F1 and F2 frequencies of and female speakers are recorded whereby 50% of all six Sora vowels are normalized in this work. In the speakers are males and 50% are females. Av- this regard, Adank [1] has shown that vowel nor- erage age of both male and female speakers is 49 malization method proposed by Lobonov [14] effec- years. Field studies in Assam were conducted in tively removes the speaker’s physiological influence, four villages including Singrijhan and Sessa tea es- and preserves the phonemic and sociolinguistic in- tate in Sonitpur district, Lamabari tea estate in Udal- formation contained in the formant frequency of guri district and Koilamari tea estate in Lakhimpur vowel sounds. Therefore, this work also adopts the district. In Odisha, the field study was conducted in vowel normalization method proposed by Lobonov a village named Raiguda in Rayagada district. Fig- [14] to reduce speaker effect on the six Assam Sora ure 1 shows the map of Assam and Odisha, high- vowels /i, e, a, o, u, @/ using equation 1. lighting Sora villages in light grey and highlighting areas of data collection in dark green. x − m (1) z = Figure 1: Locations of data recording. s In equation 1 z represents the normalized for- mant frequency calculated for the individual formant value x; m represents the mean value of individual speaker’s formant frequency values and s represents the standard deviation in individual speaker’s for- mant frequency values. Thus, with the help equation 1 the six vowel sounds are normalized separately for every speaker. 2.4. Statistical Measurements In order to measure vowel dispersion, in terms of perceptual distance, euclidean distance between all the vowels in prominent and non-prominent sylla- ble is calculated for the Sora vowel system. Eu- clidean distance measurement is commonly used to 2.3. Acoustical Measurements show vowel dispersion in terms of perceptual dis- tance between two vowels in the F1 and F2 plane of Sora has six vowels including /i, e, a, @, o, u/ [10], a vowel space [13]. In other words, euclidean dis- [11]. This work examines the acoustic properties of tance basically measures the distance between the the six vowels individually in prominent and non- points which represent the position of two vowels prominent syllables. For this purpose, digital speech in a vowel plot. Also, since vowel points repre- data described in §2.1, was manually annotated in sent a combination of F1 and F2 frequencies, the Praat [5] for (a) word boundary (b) syllable bound- distance considers both F1 and F2 frequencies of ary and (c) phoneme boundaries. While vowels are the two vowels for which the euclidean distance is marked between steady state formants, obstruents calculated. Therefore, euclidean distance between consonants are marked between release of the ob- two vowels represent the combined effect of F1 and F2 frequencies of the two vowels. Thus, in order Table 1: Average F1 and F2 of Sora vowels in to measure vowel dispersion, in terms of percep- non-prominent syllable with standard-deviation in tual distance, euclidean distance is calculated in this parenthesis. work using equation 2. F1 F2 q i 271.98 (35.84) 912.82 (66.71) 2 2 (2) eud = (F1x − F1y) + (F2x − F2y) e 339.54 (38.49) 864.47 (61.76) a 448.67 (70.25) 758.55 (66.46) In equation 2 eud represents the euclidean dis- @ 319.16 (44.20) 788.75 (68.53) tance between two vowels based on their F1 and F2 o 397.66 (43.18) 639.52 (76.72) frequencies. F1x, F1y and F2x, F2y represent the u 307.13 (38.30) 591.27 (86.99) F1 and F2 frequencies of the two vowels between which the euclidean distance is calculated. Subsequently, in order to compare vowel space in prominent and non-prominent syllable, vowel area Table 2: Average F1 and F2 of Sora vowels space of Sora vowel system in the two syllables is in prominent syllable with standard-deviation in estimated. For this purpose, the vowel system is di- parenthesis. vided into three parts representing three vowel trian- gles such as /i-e-a/, /i-a-u/ and /u-o-a/. Then area of F1 F2 the three vowel triangles is calculated using equation i 284.20 (40.82) 914.82 (64.89) 3. e 382.02 (42.54) 841.17 (60.34) a 479.78 (57.65) 735.54 (50.86) p @ 342.65 (51.25) 796.38 (66.52) (3) area = s(s − a)(s − b)(s − c) o 416.80 (46.51) 603.44 (49.73) In equation 3 ‘a’, ‘b’, ‘c’ represent lengths of the u 318.68 (41.60) 613.59 (96.82) three sides of a vowel triangle and ‘s’ represents the summation of a, b and c or (a+b+c).
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