Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2007.15188/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTDeveloping RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability — mentioned by nshmhttps://news.ycombinator.com/item?id=24113350urn:hackerpapers:mention:2007.15188:24113350Mon, 10 Aug 2020 19:56:44 GMT<p>You have wrong premise here. First of all, current Mozilla data is almost useless for training because it is carefully read speech. You do not need much of it, even accents. If you add 1000 hours of CV data to 1000 hours of random data the improvement in accuracy will be minimal. Same for the speech collected with Firefox Voice, it will be mostly a set of short commands, most likely it will not be very useful for generic transcription of random people speech. Second, you can build models much better than Mozilla ones simply from public data, there is no need to collect user voices. We at Vosk…</p><p><a href="https://hackerpaper.kaipfister.de/p/2007.15188/">Paper and discussion history</a>. A mention is not an endorsement.</p>eess.AS