Mozilla Updates Common Voice Dataset With 1,400 Hours of Speech Across 18 Languages (venturebeat.com)
Mozilla wants to make it easier for startups, researchers, and hobbyists to build voice-enabled apps, services, and devices. From a report: Toward that end, it's today releasing the latest version of Common Voice, its open source collection of transcribed voice data that now comprises over 1,400 hours of voice samples from 42,000 contributors across 18 languages, including English, French, German, Dutch, Hakha-Chin, Esperanto, Farsi, Basque, Spanish, Mandarin Chinese, Welsh, and Kabyle. It's one of the largest multi-language dataset of its kind, Mozilla claims -- substantially larger than the Common Voice corpus it made publicly available eight months ago, which contained 500 hours (400,000 recordings) from 20,000 volunteers in English -- and the corpus will soon grow larger still. The organization says that data collection efforts in 70 languages are actively underway via the Common Voice website and mobile apps.
If you need voice training data (specifically also for Speech Synthesis) my former company created a dataset that I am now making available on my website. Since the company is closed (and I used to be the CTO/MD), I had decided to release it into the public with a BSD 3-clause license.
Here is the link: https://www.caito.de/2019/01/t... (M-AILABS Speech Dataset).
It contains German (237hrs), Queen's English (45h), US-English (102h), Spanish (108h), Italian (127h), Ukrainian (87h), Russian (46h), Polish (53h) and French (190h).
All details about structure and how to use it is on the website.
Have fun.