Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems

By Fei He, Shan-Hui Cathy Chu, Oddur Kjartansson, Clara Rivera, Anna Katanova, Alexander Gutkin, Isin Demirsahin, Cibu Johny, Martin Jansche, Supheakmungkol Sarin and 1 more. 2020

86 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jan Büthe
2. Ahmed Mustafa
3. Michael Klingbeil
4. Jean-Marc Valin
5. Jan Skoglund
6. Adam Polyak
7. Alexandre D'efossez
8. Nikolaos Mavridis

Citations in the corpus

• A Survey on Neural Speech Synthesis (2021, neutral): “1 German India Corpus [103] 39 253 48 Multilingual M-AILABS [85] 1000 / 16 Multilingual MLS [272] 51K 6K 16 Multilingual CSS10 [258] 140 1 22.”
• DRED: Deep REDundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoder (2022, methodology): “Both the RDO-VAE and the FARGAN vocoder are trained independently on 205 hours of 16-kHz speech from a combination of TTS datasets [27], [28], [29], [30], [31], [32], [33], [34], [35] including more than 900 speakers in 34 languages and dialects.”