Spanish MFA dictionary v2.0.0a#

  • Maintainer: Montreal Forced Aligner

  • Language: Spanish

  • Dialect: N/A

  • Phone set: MFA

  • Number of words: 86,746

  • Phones: a b c e f i j k l m n o p r s u w x ç ð ŋ ɟ ɟʝ ɡ ɣ ɲ ɾ ʃ ʎ ʝ β θ

  • License: CC BY 4.0

  • Compatible MFA version: v2.0.0

  • Citation:

@techreport{mfa_spanish_mfa_dictionary_2022,
	author={McAuliffe, Michael and Sonderegger, Morgan},
	title={Spanish MFA dictionary v2.0.0a},
	address={\url{https://mfa-models.readthedocs.io/pronunciation dictionary/Spanish/Spanish MFA dictionary v2_0_0a.html}},
	year={2022},
	month={May},
}
../../_images/full_logo_yellow.svg

Installation#

Install from the MFA command line:

mfa model download dictionary spanish_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 Spanish transcripts.

This dictionary uses the MFA phone set for Spanish, and was used in training the Spanish 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

Dental

Alveolar

Alveopalatal

Palatal

Velar

Nasal

Occurrences:
25,357
Examples:
* molly:
[m o ʝ i]
* mozos:
[m o s o s]
* tampa:
[t ̪ a m p a]
* horma:
[o r m a]
Occurrences:
45,753
Examples:
* ibsen:
[i β s e n]
* fine:
[f i n e]
* instó:
[i n s t ̪ o]
* suina:
[s w i n a]
Occurrences:
2,641
Examples:
* ñew:
[ɲ e u]
* ñire:
[ɲ i ɾ e]
* eñes:
[e ɲ e s]
* núñez:
[n u ɲ e s]
Occurrences:
2,970
Examples:
* jong:
[x o ŋ ɡ]
* ming:
[m i ŋ]
* venga:
[b e ŋ ɡ a]
* finco:
[f i ŋ k o]

Stop

Occurrences:
19,051
Examples:
* pinal:
[p i n a l]
* sapo:
[s a p o]
* pluma:
[p l u m a]
* pol:
[p o l]
Occurrences:
7,945
Examples:
* borró:
[b o r o]
* vezo:
[b e θ o]
* vengó:
[b e ŋ ɡ o]
* betis:
[b e t ̪ i s]
Occurrences:
40,877
Examples:
* etá:
[e t ̪ a]
* pote:
[p o t ̪ e]
* that:
[t ̪ a ð]
* nate:
[n a t ̪ e]
Occurrences:
11,967
Examples:
* caldo:
[k a l d ̪ o]
* doubt:
[d ̪ o u β t ̪]
* darío:
[d ̪ a ɾ i o]
* dedo:
[d ̪ e ð o]
Occurrences:
2,679
Examples:
* jaque:
[x a c e]
* lakes:
[l a c e s]
* kyle:
[c i l]
* saki:
[s a c i]
Occurrences:
222
Examples:
* llosa:
[ɟ ʝ o s a]
* yirar:
[ɟ ʝ i ɾ a ɾ]
* yoyó:
[ɟ ʝ o ʝ o]
* guido:
[ɟ i ð o]
Occurrences:
26,802
Examples:
* kato:
[k a t ̪ o]
* cavo:
[k a β o]
* camas:
[k a m a s]
* ancón:
[a ŋ k o n]
Occurrences:
2,814
Examples:
* inga:
[i ŋ ɡ a]
* grace:
[ɡ ɾ a s e]
* hong:
[o ŋ ɡ]
* cheng:
[t ʃ e ŋ ɡ]

Affricate

Occurrences:
2,870
Examples:
* chart:
[t ʃ a r t ̪]
* tocho:
[t ̪ o t ʃ o]
* coach:
[k o t ʃ]
* cheta:
[t ʃ e t ̪ a]
Occurrences:
599
Examples:
* yaro:
[ɟ ʝ a ɾ o]
* ninja:
[n i ɲ ɟ ʝ a]
* yaqui:
[ɟ ʝ a c i]
* yacer:
[ɟ ʝ a θ e ɾ]

Sibilant

Occurrences:
67,812
Examples:
* star:
[e s t ̪ a ɾ]
* gps:
[ç e p e s e]
* drusa:
[d ̪ ɾ u s a]
* next:
[n e k s t ̪]
Occurrences:
382
Examples:
* shea:
[ʃ e a]
* hodge:
[o t ʃ]
* cheve:
[t ʃ e β e]
* butch:
[b o t ʃ]

Fricative

Occurrences:
8,911
Examples:
* taft:
[t ̪ a f]
* foso:
[f o s o]
* fun:
[f u n]
* fuste:
[f u s t ̪ e]
Occurrences:
14,861
Examples:
* zetas:
[θ e t ̪ a s]
* uci:
[u θ i]
* rezo:
[r e θ o]
* cites:
[θ i t ̪ e s]
Occurrences:
35,500
Examples:
* medio:
[m e ð j o]
* edipo:
[e ð i p o]
* sud:
[s u ð]
* ánodo:
[a n o ð o]
Occurrences:
3,548
Examples:
* gema:
[ç e m a]
* giró:
[ç i ɾ o]
* gesta:
[ç e s t ̪ a]
* geo:
[ç e o]
Occurrences:
2,254
Examples:
* ayuda:
[a ʝ u ð a]
* chloe:
[x a ʝ o e]
* yate:
[ɟ ʝ a t ̪ e]
* pollo:
[p o ʝ o]

Approximant

Occurrences:
4,126
Examples:
* ruan:
[r w a n]
* sueño:
[s w e ɲ o]
* jueza:
[x w e θ a]
* way:
[w a i]
Occurrences:
15,489
Examples:
* soria:
[s o ɾ j a]
* field:
[f j e l d ̪]
* viena:
[b j e n a]
* ugier:
[u x j e ɾ]

Tap

Occurrences:
43,250
Examples:
* force:
[f o ɾ θ e]
* fijar:
[f i x a ɾ]
* céreo:
[θ e ɾ e o]
* ver:
[b e ɾ]

Trill

Occurrences:
20,406
Examples:
* rasa:
[r a s a]
* ñorsa:
[ɲ o r s a]
* serge:
[s e r ç e]
* rubí:
[r u β i]

Lateral

Occurrences:
28,635
Examples:
* emulo:
[e m u l o]
* blind:
[b l i n d ̪]
* cáliz:
[k a l i s]
* rail:
[r a i l]
Occurrences:
2,149
Examples:
* hill:
[i ʎ]
* llame:
[ʎ a m e]
* halle:
[a ʎ e]
* allí:
[a ʎ i]

Vowels#

Vowel symbols to the left of are unrounded and those to the right are rounded.

Front

Near-Front

Central

Near-Back

Back

Close

Occurrences:
56,381
Examples:
* ídolo:
[i ð o l o]
* virar:
[b i ɾ a ɾ]
* liceu:
[l i θ e u]
* mirza:
[m i ɾ s a]
Occurrences:
18,206
Examples:
* usó:
[u s o]
* usted:
[u s t ̪ e ð]
* runa:
[r u n a]
* rumba:
[r u m b a]

Close-Mid

Occurrences:
78,556
Examples:
* deber:
[d ̪ e β e ɾ]
* yagüe:
[ɟ ʝ a ɣ w e]
* serle:
[s e r l e]
* puedo:
[p w e ð o]
Occurrences:
76,158
Examples:
* chato:
[t ʃ a t ̪ o]
* icor:
[i k o ɾ]
* acabo:
[a k a β o]
* pasco:
[p a s k o]

Open-Mid

Open

Occurrences:
128,621
Examples:
* fauna:
[f a u n a]
* kota:
[k o t ̪ a]
* guías:
[ɟ i a s]
* kuala:
[k u a l a]