Vietnamese (Ho Chi Minh City) MFA dictionary v2.0.0#
@techreport{mfa_vietnamese_ho_chi_minh_city_mfa_dictionary_2022,
author={McAuliffe, Michael and Sonderegger, Morgan},
title={Vietnamese (Ho Chi Minh City) MFA dictionary v2.0.0},
address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/Vietnamese/Vietnamese (Ho Chi Minh City) MFA dictionary v2_0_0.html}},
year={2022},
month={Mar},
}
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Installation#
Install from the MFA command line:
mfa model download dictionary vietnamese_ho_chi_minh_city_mfa
Or download from the release page.
The dictionary available from the release page and command line installation has pronunciation and silence probabilities estimated as part acoustic model training (see Silence probability format and training pronunciation probabilities for more information. If you would like to use the version of this dictionary without probabilities, please see the plain dictionary.
Intended use#
This dictionary is intended for forced alignment of Vietnamese transcripts.
This dictionary uses the MFA phone set for Vietnamese, and was used in training the Vietnamese MFA acoustic model. Pronunciations can be added on top of the dictionary, as long as no additional phones are introduced.
Performance Factors#
When trying to get better alignment accuracy, adding pronunciations is generally helpful, especially for different styles and dialects. The most impactful improvements will generally be seen when adding reduced variants that involve deleting segments/syllables common in spontaneous speech. Alignment must include all phones specified in the pronunciation of a word, and each phone has a minimum duration (by default 10ms). If a speaker pronounces a multisyllabic word with just a single syllable, it can be hard for MFA to fit all the segments in, so it will lead to alignment errors on adjacent words as well.
Ethical considerations#
Deploying any Speech-to-Text model into any production setting has ethical implications. You should consider these implications before use.
Demographic Bias#
You should assume every machine learning model has demographic bias unless proven otherwise. For pronunciation dictionaries, it is often the case that transcription accuracy and lexicon coverage for the prestige variety modeled in this dictionary compared to other variants. If you are using this dictionary in production, you should acknowledge this as a potential issue.
IPA Charts#
Consonants#
Obstruent symbols to the left of are unvoiced and those to the right are voiced.
Manner |
Labial |
Labiodental |
Alveolar |
Retroflex |
Palatal |
Velar |
Glottal |
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Nasal |
Occurrences: 654 Examples: * dậm: [j ə˨˩˨ m] * mường: [m ɨː˨˩ ŋ] * vòm: [v ɔː˨˩ m] * ngấm: [ŋ ə˦˥ m] |
Occurrences: 416 Examples: * hạnh: [h a˨˩˨ n] * nướng: [n ɨː˦˥ ŋ] * nãy: [n a˨˩˦ j] * nảy: [n a˨˩˦ j] |
Occurrences: 185 Examples: * nhập: [ɲ ə˨˩˨ p] * nhat: [ɲ aː˨˨ k] * nhây: [ɲ ə˨˨ j] * nhạt: [ɲ aː˨˩˨ k] |
Occurrences: 1,145 Examples: * khiến: [x iː˦˥ ŋ] * cắn: [k a˦˥ ŋ] * trân: [ʈ ə˨˨ ŋ] * mường: [m ɨː˨˩ ŋ] |
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Stop Plain |
Occurrences: 197 Examples: * nhập: [ɲ ə˨˩˨ p] * bếp: [ɓ eː˦˥ p] * chạp: [c aː˨˩˨ p] * sếp: [s eː˦˥ p] |
Occurrences: 415 Examples: * rích: [r ɨ˦˥ t] * tồn: [t o˨˩ ŋ] * tẩy: [t ə˨˩˦ j] * tung: [t u˨˨ ŋm] |
Occurrences: 159 Examples: * trân: [ʈ ə˨˨ ŋ] * trào: [ʈ aː˨˩ w] * trộn: [ʈ o˨˩˨ ŋ] * trọi: [ʈ ɔː˨˩˨ j] |
Occurrences: 233 Examples: * chạp: [c aː˨˩˨ p] * chen: [c ɛː˨˨ ŋ] * chạm: [c aː˨˩˨ m] * chớm: [c əː˦˥ m] |
Occurrences: 765 Examples: * cắn: [k a˦˥ ŋ] * cậy: [k ə˨˩˨ j] * phát: [f aː˦˥ k] * khẹc: [x ɛː˨˩˨ k] Occurrences: 132 Examples: * gót: [ɡ ɔː˦˥ k] * gợi: [ɡ əː˨˩˨ j] * ghềnh: [ɡ əː˨˩ n] * gài: [ɡ aː˨˩ j] |
Occurrences: 189 Examples: * ướt: [ʔ ɨː˦˥ k] * ịch: [ʔ ɨ˨˩˨ t] * ưng: [ʔ ɨ˨˨ ŋ] * ễnh: [ʔ əː˨˩˦ n] |
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Implosive |
Occurrences: 266 Examples: * bới: [ɓ əː˦˥ j] * bứt: [ɓ ɨ˦˥ k] * bếp: [ɓ eː˦˥ p] * búi: [ɓ u˦˥ j] |
Occurrences: 252 Examples: * đao: [ɗ aː˨˨ w] * đia: [ɗ iə˨˨] * đằng: [ɗ a˨˩ ŋ] * đảm: [ɗ aː˨˩˦ m] |
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Sibilant |
Occurrences: 337 Examples: * sủi: [s u˨˩˦ j] * xài: [s aː˨˩ j] * sếp: [s eː˦˥ p] * xoang: [s w aː˨˨ ŋ] |
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Fricative |
Occurrences: 121 Examples: * phát: [f aː˦˥ k] * phô: [f oː˨˨] * phụ: [f u˨˩˨] * phoi: [f ɔː˨˨ j] Occurrences: 188 Examples: * vôi: [v oː˨˨ j] * vọng: [v ɔ˨˩˨ ŋm] * váng: [v aː˦˥ ŋ] * vòm: [v ɔː˨˩ m] |
Occurrences: 256 Examples: * hạnh: [h a˨˩˨ n] * hờn: [h əː˨˩ ŋ] * hốt: [h o˦˥ k] * hâm: [h ə˨˨ m] |
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Approximant |
Occurrences: 779 Examples: * trào: [ʈ aː˨˩ w] * thuỷ: [tʰ w i˨˩˦] * dậu: [j ə˨˩˨ w] * thỉu: [tʰ i˨˩˦ w] |
Occurrences: 898 Examples: * dậm: [j ə˨˩˨ m] * bới: [ɓ əː˦˥ j] * cậy: [k ə˨˩˨ j] * sủi: [s u˨˩˦ j] |
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Trill |
Occurrences: 205 Examples: * rùng: [r u˨˩ ŋm] * rích: [r ɨ˦˥ t] * rưng: [r ɨ˨˨ ŋ] * rủa: [r uə˨˩˦] |
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Lateral |
Occurrences: 290 Examples: * lạt: [l aː˨˩˨ k] * luộc: [l uː˨˩˨ k] * loạt: [l w aː˨˩˨ k] * lợi: [l əː˨˩˨ j] |
Vowels#
Vowel symbols to the left of are unrounded and those to the right are rounded.
Front |
Near-Front |
Central |
Near-Back |
Back |
|
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Close |
Occurrences: 221 Examples: * niu: [n i˨˨ w] * thi: [tʰ i˨˨] * tuý: [t w i˦˥] * trị: [ʈ i˨˩˨] Occurrences: 278 Examples: * nhiễu: [ɲ iː˨˩˦ w] * tiền: [t iː˨˩ ŋ] * tiên: [t iː˨˨ ŋ] * viễn: [v iː˨˩˦ ŋ] |
Occurrences: 378 Examples: * hữu: [h ɨ˨˩˦ w] * ngực: [ŋ ɨ˨˩˨ k] * tít: [t ɨ˦˥ t] * bịch: [ɓ ɨ˨˩˨ t] Occurrences: 156 Examples: * người: [ŋ ɨː˨˩ j] * cưỡng: [k ɨː˨˩˦ ŋ] * xưởng: [s ɨː˨˩˦ ŋ] * dưỡng: [j ɨː˨˩˦ ŋ] |
Occurrences: 331 Examples: * mùn: [m u˨˩ ŋm] * thủy: [tʰ u˨˩˦ j] * bút: [ɓ u˦˥ kp] * búi: [ɓ u˦˥ j] Occurrences: 96 Examples: * buổi: [ɓ uː˨˩˦ j] * uốn: [ʔ uː˦˥ ŋ] * tuốt: [t uː˦˥ k] * nuôi: [n uː˨˨ j] |
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Close-Mid |
Occurrences: 127 Examples: * sếp: [s eː˦˥ p] * rêu: [r eː˨˨ w] * phễu: [f eː˨˩˦ w] * thề: [tʰ eː˨˩] |
Occurrences: 76 Examples: * tồn: [t o˨˩ ŋ] * bổn: [ɓ o˨˩˦ ŋ] * nhộn: [ɲ o˨˩˨ ŋ] * trộn: [ʈ o˨˩˨ ŋ] Occurrences: 191 Examples: * chỗ: [c oː˨˩˦] * tôm: [t oː˨˨ m] * dội: [j oː˨˩˨ j] * nhố: [ɲ oː˦˥] |
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Occurrences: 428 Examples: * dậu: [j ə˨˩˨ w] * cậy: [k ə˨˩˨ j] * thầu: [tʰ ə˨˩ w] * giấy: [j ə˦˥ j] Occurrences: 337 Examples: * kênh: [k əː˨˨ n] * vểnh: [v əː˨˩˦ n] * rởm: [r əː˨˩˦ m] * lợi: [l əː˨˩˨ j] |
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Open-Mid |
Occurrences: 307 Examples: * chen: [c ɛː˨˨ ŋ] * ghen: [ɡ ɛː˨˨ ŋ] * trẹo: [ʈ ɛː˨˩˨ w] * khẹc: [x ɛː˨˩˨ k] |
Occurrences: 212 Examples: * tóc: [t ɔ˦˥ kp] * nhỏng: [ɲ ɔ˨˩˦ ŋm] * dóc: [j ɔ˦˥ kp] * tròng: [ʈ ɔ˨˩ ŋm] Occurrences: 271 Examples: * noi: [n ɔː˨˨ j] * đòm: [ɗ ɔː˨˩ m] * phoi: [f ɔː˨˨ j] * tỏm: [t ɔː˨˩˦ m] |
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Open |
Occurrences: 481 Examples: * cáy: [k a˦˥ j] * ngành: [ŋ a˨˩ n] * mau: [m a˨˨ w] * nặng: [n a˨˩˨ ŋ] Occurrences: 783 Examples: * ngạc: [ŋ aː˨˩˨ k] * xài: [s aː˨˩ j] * dái: [j aː˦˥ j] * nhác: [ɲ aː˦˥ k] |
Diphthongs#
iə
uə
ɨə
Tones#
˦˥
˨˨
˨˩
˨˩˦
˨˩˨