Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
| Date | Stars |
|---|---|
| 2026-07-24 | 490 |
| 2026-07-25 | 490 |
| 2026-07-28 | 490 |
| 2026-07-30 | 490 |
| 2026-08-06 | 490 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages ## Abstract We describe our development of CSS10, a collection of single speaker speech datasets for ten languages. It is composed of short audio clips from LibriVox audiobooks and their aligned texts. To validate its quality we train two neural text-to-speech models on each dataset. Subsequently, we conduct Mean Opinion Score tests on the synthesized speech samples. We make our datasets, pretrained models, and test resources publicly available. We hope they will be used for future speech tasks. For details, check [our paper](https://arxiv.org/abs/1903.11269). Kyubyong gave a [talk](https://m.youtube.com/watch?v=omGpmNCaZwM&feature=youtu.be) with this paper at the workshop of 2018 The Korean Society of Speech Sciences. ## Environments & Dependencies * Linux * Python 2.X or 3.X * TensorFlow == 1.3 * NumPy * Librosa * Matplotlib * tqdm * scipy ## Audiobooks & Datasets |Code|Language|Audiobook|Running Time|Reader|Dataset| |--|--|--|--|--|--| |de|German|1. [Meister Floh](https://librivox.org/meister-floh-by-eta-hoffmann/) <br>2. [Die acht Gesichter am Biwasee](https://librivox.org/die-acht-gesichter-am-biwasee-by-max-dauthendey/) <br>3. [Auswahl aus Die Serapionsbrüder](https://librivox.org/die-serapionsbrueder-by-eta-hoffmann/)|16:42:45|Hokuspokus |[CSS German](http://kaggle.com/bryanpark/german-single-speaker-speech-dataset)| |el|Greek|[Παραμύθι χωρίς όνομα (Tale Without Name)](https://librivox.org/paramythi-horis-onoma-by-penelope-delta/)|04:08:14| Rapunzelina|[CSS Greek](http://kaggle.com/bryanpark/greek-single-speaker-speech-dataset)| |es|Spanish|1. [Bailén](https://librivox.org/bailen-by-benito-perez-galdos/) <br>2. [El 19 de Marzo y el 2 de Mayo](https://librivox.org/el-19-de-marzo-y-el-2-de-mayo-by-benito-perez-galdos/)<br>3. [La Batalla de los Arapiles](https://librivox.org/la-batalla-de-los-arapiles-by-benito-perez-galdos/)|23:49:49|Tux |[CSS Spanish](http://kaggle.com/bryanpark/spanish-single-speaker-speech-dataset)| |fi|Finnish|1. [Gulliverin matkat kaukaisilla mailla](https://librivox.org/gulliverin-matkat-kaukaisilla-mailla-by-jonathan-swift/) <br>2. [Ensimmäiset novellit](https://librivox.org/ensimmaeiset-novellit-by-juhani-aho/) <br>3. [Kaleri-orja](https://librivox.org/kaleri-orja-by-heinrich-zschokke/) <br>4. [Salmelan heinätalkoot](https://librivox.org/salmelan-heinaetalkoot-by-olli-wuorinen/)|10:32:03|Harri Tapani Ylilammi |[CSS Finnish](http://kaggle.com/bryanpark/finnish-single-speaker-speech-dataset)| |fr|French|1. [Les Misérables - tome 5 .](https://librivox.org/les-miserables-tome-5-jean-valjean-by-victor-hugo/)<br> 2. [Arsène Lupin contre Herlock Sholmès](https://librivox.org/arsene-lupin-contre-herlock-sholmes-by-maurice-leblanc/)|19:09:03|Gilles G. Le Blanc |[CSS French](http://kaggle.com/bryanpark/french-single-speaker-speech-dataset)| |hu|Hungarian|[Egri csillagok](https://librivox.org/egri-csillagok-by-geza-gardonyi/)|10:00:25| Diana Majlinger|[CSS Hungarian](http://kaggle.com/bryanpark/hungarian-single-speaker-speech-dataset)| |ja|Japanese|[明暗 (Meian)](https://librivox.org/meian-by-soseki-natsume/)|14:55:36|ekzemplaro|[CSS Japanese](http://kaggle.com/bryanpark/japanese-single-speaker-speech-dataset)| |nl|Dutch|[20.000 Mijlen onder Zee](https://librivox.org/20-000-mijlen-onder-zee-by-jules-verne/)|14:06:40|Bart de Leeuw |[CSS Dutch](http://kaggle.com/bryanpark/dutch-single-speaker-speech-dataset)| |ru|Russian|1. [Ice March - Ледяной поход](https://librivox.org/ice-march-by-roman-gul/)<br>2. [Early Short Stories](https://librivox.org/early-short-stories-by-zeev-jabotinsky/) <br>3. [Short Stories for Children and Adults](https://librivox.org/p-short-stories-for-children-and-adults-by-vsevolod-garshin/)|21:22:10 |Mark Chulsky|[CSS Russian](http://kaggle.com/bryanpark/russian-single-speaker-speech-dataset)| |zh|Chinese|1. [朝花夕拾 (Chao Hua Si She))](https://librivox.org/chao-hua-si-she-by-lu-xun/)<bt>2. [呐喊 (Call to Arms)
Excerpt of 7,212 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b42753e6f1bd76ee, topic:dataset, readme:dataset, desc:datasets
matched fp:b42753e6f1bd76ee, topic:speech-to-text, readme:text-to-speech