Hostname: page-component-89b8bd64d-rbxfs Total loading time: 0 Render date: 2026-05-08T01:40:29.110Z Has data issue: false hasContentIssue false

San Martín Peras Mixtec

Published online by Cambridge University Press:  27 February 2025

Ben Eischens*
Affiliation:
University of California, Los Angeles
Andrew A. Hedding
Affiliation:
University of Washington
*
*Corresponding author. Email: beischens@ucla.edu
Rights & Permissions [Opens in a new window]

Extract

San Martín Peras Mixtec (autonym: Tu’un Nta’vi or Tu’un Savi ) is an Otomanguean language spoken by roughly 11,500 people in the municipality of San Martín Peras, in Oaxaca, Mexico (Instituto Nacional de Estadística y Geografía, 2020), as shown in Figure 1. The municipality is in the district of Juxtlahuaca, bordering the state of Guerrero. As of 2020, approximately 97% of the population of the municipality over three years old is a speaker of an Indigenous language. Of those that speak an Indigenous language, approximately 60% also speak Spanish, meaning that around 37% of the total population is monolingual in Mixtec (Instituto Nacional de Estadística y Geografía, 2020). Despite these figures, it is difficult to estimate the total number of native speakers of the language, as many community members have migrated to other parts of Mexico and the United States, especially to several towns in California (Mendoza, 2020).

Information

Type
Illustration of the IPA
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The International Phonetic Association
Figure 0

Figure 1. The State of Oaxaca (left) and the municipality of San Martín Peras (right).

Figure 1

Table 1. Mean and standard deviation CoG (Hz) measurements by speaker and fricative.

Figure 2

Figure 2. FFTs for [s] (left) and [ʃ] (right) produced by NGC. Examples taken from the words (‘crazy’) and (‘cigarette’).

Figure 3

Figure 3. Representative examples of plain stops and affricates. Shaded portion shows VOT.

Figure 4

Figure 4. Representative examples of prenasalized stops and affricates. NV = no voicing; PN = prenasalized; VOT = VOT from stop burst or cessation of oral frication; WV = weak voicing.

Figure 5

Figure 5. VOT by consonant type and speaker in the series of plain stops and affricates (left) and prenasalized stops and affricates (right). Error bars represent one standard deviation.NGC [t͡ʃ] = 35, [k] = 51, [t] = 18, [t͡s] = 6, [ⁿt] = 18, [k] = 12, [ⁿt͡s] = 11.RDC [t͡ʃ] = 18, [k] = 51, [t] = 15, [t͡s] = 6, [ⁿt] = 18, [k] = 15, [207F;t͡s] = 17.

Figure 6

Figure 6. Proportional duration of prenasalization, weak voicing, and voicelessness in prenasalized consonants for NGC (left) and RDC (right). Error bars show one standard deviation.

Figure 7

Figure 7. Waveforms and spectrograms showing four distinct realizations of /j/. Vertical black bar represents the offset of the sound.

Figure 8

Figure 8. Waveforms and spectrograms showing two distinct realizations of /j/. Vertical black bars represent the onset and end of the sound.

Figure 9

Figure 9. Plots of average formant values (Hz) for NGC and RDC. Ellipses show one standard deviation around the mean. Solid lines represent oral vowels; dotted lines represent nasal vowels.Number of tokens for NGC: 69 [a], 36 [ã], 21 [e], 88 [i], 77 [ĩ], 84 [o], 30 [u], 32 [ũ].Number of tokens for RDC: 75 [a], 39 [ã], 18 [e], 84 [i], 78 [ĩ], 87 [o], 36 [u], 33 [ũ].

Figure 10

Figure 10. Individual tokens of glottalized vowels from the words /kúɁù/ (‘sick’), /kòɁŏ/ (‘plate’), and /jāɁǎ/ (‘chile pepper’) from NGC (top) and RDC (bottom).

Figure 11

Figure 11. Individual tokens of breathy vowels from the words /kòʰǒ/ (‘snake’) and /jáʰǎ/ (‘tongue’) from NGC (top) and RDC (bottom).

Figure 12

Figure 12. Individual tokens of vowels followed by preaspiration from the word /āʰtū/ (‘bitter’) from NGC (left) and RDC (right).

Figure 13

Figure 13. SoE for [VʰV] (solid) and [VʔV] (dashed) sequences. Lines are smoothed LOESS regression lines, and gray bars represent a 95% confidence interval around the regression line. NGC [VʰV] = 57, [VˀV] = 58. RDC [VʰV] = 66, [VˀV] = 63.

Figure 14

Figure 14. SoE for vowels followed by preaspiration (solid) and prenasalization (dashed). Lines are smoothed LOESS regression lines, and gray bars represent a 95% confidence interval around the regression line. NGC [VʰC] = 84, [VⁿC] = 63. RDC [VʰC] = 66, [VⁿC] = 66.

Figure 15

Figure 15. Pitch (Hz) by tone type on V1 (left) and V2 (right) for consultants NGC (top) and RDC (bottom). Colored lines are LOESS regression curves, and gray bars around the lines represent 95% confidence intervals for the curve.Number of tokens for NGC V1: H = 51, HL = 33, M = 93, ML = 24, L = 113.Number of tokens for RDC V1: H = 36, HL = 33, M = 93, ML = 24, L = 129.Number of tokens for NGC V2: H = 42, M = 107, L = 80, R = 157.Number of tokens for RDC V2: H = 51, M = 119, L = 102, R = 180.