Multilingual-TTS
open-bible
OpenBibleTTS
OpenBibleTTS is a large-scale, multilingual speech corpus for low-resource text-to-speech (TTS), spanning 37 underrepresented languages across five regions. It contains ~3,469 hours of aligned, verse-level read speech and 1,121,956 utterances, derived from the Open Bible platform and released under a permissive license.
Alignment pipeline: https://github.com/davidguzmanr/open-bible-resources
Source: Open Bible (CC BY-SA)
Languages
Africa (19), South… See the full description on the dataset page: https://huggingface.co/datasets/multilingual-tts/open-bible.multilingual-tts-benchmark
Multilingual Speech Benchmark for Zero-Shot TTS
A voice-cloning and intelligibility benchmark for 8 language subsets,
with 10,100 examples selected from Common Voice 17.0. Each example supplies
a speaker reference and an independently selected target text, with human
recordings as WER/CER and speaker-similarity anchors when the corresponding
audio is available. Corpus WER and the WavLM-FT evaluation follow
seed-tts-eval.
Version 3.1. Adds ru, kk through the same S1–S4 selection… See the full description on the dataset page: https://huggingface.co/datasets/nineninesix/multilingual-tts-benchmark.Multilingual-TTS
Multilingual-TTS
A large multilingual corpus for pretraining TTS/STT models, gathered and normalized from 230+ public sources. ~191k hours of audio across 150+ languages, organized into 1,544 dataset configs and tokenized to 34.5B NeuCodec speech tokens (50 Hz, single-codebook) over 111.1M clips.
Each config is one source dataset normalized to rows of {audio_filename, text, speaker}:
audio_filename — clip path inside that config's <config>_audio.zip (mono MP3).
text —… See the full description on the dataset page: https://huggingface.co/datasets/malaysia-ai/Multilingual-TTS.TTS-Multilingual-Test-Set
Overview
To assess the multilingual zero-shot voice cloning capabilities of TTS models, we have constructed a test set encompassing 24 languages. This dataset provides both audio samples for voice cloning and corresponding test texts.
Specifically, the test set for each language includes:
100 distinct test sentences.
Audio samples from two speakers (one male and one female) carefully selected from the Mozilla Common Voice (MCV) dataset, intended for voice cloning.
Researchers can… See the full description on the dataset page: https://huggingface.co/datasets/MiniMaxAI/TTS-Multilingual-Test-Set.matcha-tts-multilingual-datasets
🎙️ Matcha-TTS Multilingual Master Speech & Acoustic Datasets
Kho dữ liệu âm thanh đa ngôn ngữ (Tiếng Việt & Tiếng Anh) chuẩn phòng thu SOTA, được tiền xử lý và thẩm định toàn diện (SQUIM noise assessment, trích xuất vector âm sắc ECAPA-TDNN 192-d, căn chỉnh phụ đề JSON/timestamps, Mel-spectrogram & F0 pitch contours) phục vụ tối ưu cho việc huấn luyện và suy luận mô hình Matcha-TTS kết hợp Vocoder Vocos.
📌 I. Tổng Quan Các Bộ Dữ Liệu Trên Hugging Face
Toàn bộ… See the full description on the dataset page: https://huggingface.co/datasets/Cong123779/matcha-tts-multilingual-datasets.qwen3-tts-multilingual-emotional-speech