Nart/abkhaz-tts
Abkhaz TTS — Alisa (Bagrat Shinkuba Fund) A single-speaker Abkhaz (аҧсуа бызшәа, ISO 639 ab) text-to-speech corpus: studio recordings of a single female narrator, Alisa, reading Abkhaz sentences, paired with their transcripts. To our knowledge this is the first dedicated Abkhaz TTS dataset on the Hub, filling a gap for a low-resource Caucasian language. Clips: 7,714 Total audio: ~9.6 hours Audio: mono WAV, 48 kHz, 24-bit PCM Speaker: single female voice ("Alisa") Language:… See the full description on the dataset page: https://huggingface.co/datasets/Nart/abkhaz-tts.
Abkhaz TTS — Alisa (Bagrat Shinkuba Fund)
A single-speaker Abkhaz (аҧсуа бызшәа, ISO 639 ab) text-to-speech corpus: studio recordings of a single female narrator, Alisa, reading Abkhaz sentences, paired with their transcripts. To our knowledge this is the first dedicated Abkhaz TTS dataset on the Hub, filling a gap for a low-resource Caucasian language.
- Clips: 7,714
- Total audio: ~9.6 hours
- Audio: mono WAV, 48 kHz, 24-bit PCM
- Speaker: single female voice ("Alisa")
- Language: Abkhaz (Cyrillic script)
- Source: Bagrat Shinkuba Fund (Фонд Шинкуба) — literary sentences plus a spoken word/phrase list.
- License: CC0-1.0 (public domain dedication)
Columns
Usage
from datasets import load_dataset
ds = load_dataset("Nart/abkhaz-tts", split="train")
print(ds[0]["text"])
print(ds[0]["audio"]["sampling_rate"]) # 48000Notes
- Text is in the Abkhaz Cyrillic alphabet.
- One subset — the spoken word/phrase list at indices 6081–6460 (~379 entries) — marks stress with a combining acute accent (´, U+0301) on a vowel. About half of that subset (199 entries) carries a mark (e.g.
Мшыбзи́а!"Hello!"). No other part of the corpus uses stress marks, so strip U+0301 if you need fully uniform transcripts.
License
Released under CC0-1.0: no rights reserved, free for any use including commercial. Attribution to the source collection (Bagrat Shinkuba Fund) is appreciated but not required.