docs: add OpenSLR 32 TTS data for South African languages - #32
Open
kawacukennedy wants to merge 1 commit into
Open
docs: add OpenSLR 32 TTS data for South African languages#32kawacukennedy wants to merge 1 commit into
kawacukennedy wants to merge 1 commit into
Conversation
Adds high quality TTS data for Afrikaans, Sesotho, Setswana, and isiXhosa from OpenSLR to the speech datasets reference list. Closes masakhane-io#23
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Adds the OpenSLR 32 dataset to the speech datasets reference list in
list-of-datasets.md. This dataset provides high quality TTS (Text-to-Speech) data for four South African languages: Afrikaans, Sesotho, Setswana, and isiXhosa.Issues Fixed
Changes
list-of-datasets.mdwith the OpenSLR 32 dataset entryDataset Details
Impact
This makes an important South African language TTS resource discoverable to the Masakhane community, supporting speech synthesis research for under-represented languages.
Checklist