Lessons from Building Acoustic Models with a Million Hours of Speech · HackerPapers discussions

Lessons from Building Acoustic Models with a Million Hours of Speech — mentioned by solidasparagus

Fri, 17 Apr 2020 21:13:33 GMT

Amazon worked with 7k hours of labeled data + 1 million hours of unlabeled data - https://arxiv.org/pdf/1904.01624.pdf

Paper and discussion history. A mention is not an endorsement.

Lessons from Building Acoustic Models with a Million Hours of Speech — mentioned by est31

Fri, 27 Dec 2019 01:31:24 GMT

> M-AILABS data contains 9 language varieties with a modified BSD 3-Clause License, however there is no community-driven aspect. There is certainly an aspect, as M-AILABS sources their data mainly from the librivox project, which is community-driven. To give ballpark numbers on what it would have cost if you had had to pay people for providing the data instead of getting it for free: It's low skilled labour so you'll likely find people to do it slightly above minimum wage. Let's take Germany as I'm most familiar with its rules and because that's where Common Voice is headquartered. Minimum…

Paper and discussion history. A mention is not an endorsement.

Lessons from Building Acoustic Models with a Million Hours of Speech — mentioned by melling

Thu, 04 Apr 2019 13:51:05 GMT

Here’s a direct link to the paper: https://arxiv.org/pdf/1904.01624.pdf There was another paper two weeks ago: https://arxiv.org/pdf/1901.02348.pdf For some reason, this submission isn’t making it to the front page, even with 7 upvotes in the first 10 minutes.

Paper and discussion history. A mention is not an endorsement.