Models
MODELHugging Face
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facebook/mms-tts-dik

Dinka (Southwestern)(dik)TTS / VITS end-to-endVITS (Variational Inference with adversarial learning for TTS)VitsModel
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Model Info

Language
Dinka (Southwestern) (dik)
Architecture
VitsModel
Institution
Vineel Pratap et al. (Meta AI)
Last Updated
25 May 2026

Intended Use Cases

TTS for Southwestern Dinka

License & Access

SPDX identifierCC-BY-NC 4.0

Open with restrictions — attribution required; some commercial or derivative use limited.

Provenance

Source URL
https://huggingface.co/facebook/mms-tts-dik
Fetch Timestamp
25 May 2026
Submitter
Vineel Pratap et al. (Meta AI)

Full Record

20 of 25 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (17/18)

iso code
dik
Model Name
facebook/mms-tts-dik
Where is it hosted
HuggingFace
Link
https://huggingface.co/facebook/mms-tts-dik
Year
2023
Creator/Author(s)
Vineel Pratap et al. (Meta AI)
Paper Reference
Pratap et al. (2023) Scaling Speech Technology to 1,000+ Languages. arXiv:2305.13516
NLP Task
TTS / VITS end-to-end
Architecture
VitsModelderivedHugging Face config: architectures / model_type
Base Model
VITS (Variational Inference with adversarial learning for TTS)
Fine-tuned?
No
License
CC-BY-NC 4.0
Open Access
Open
Has Model Card
Yes
SOTA Tasks
TTS for Southwestern Dinka
Verified By
Not stated
Date Indexed
2026-05-25
Comment
Meta MMS-TTS VITS model for Southwestern Dinka (dik). Part of MMS project (1100+ languages). Available via HuggingFace Transformers >=4.33. Input: text; Output:…

Readiness (LRS) (3/7)

model id
facebook-mms-tts-dik-dik
Model Type
TTSderivedHugging Face card: pipeline_tag
Training Data Sources
MMS-lab Bible recordings (dik)
Benchmark Used
Not stated
Benchmark Score
Not stated
Benchmark Date
Not stated
Status
Not stated

Readiness Score Breakdown

5/5
Data Coverage100%
Model Availability100%
Benchmarks100%
Documentation92%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity
Relations Explorer link

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