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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Streaming End-to-end Speech Recognition For Mobile Devices · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1811.06621/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1811.06621/feed.xml" rel="self" type="application/rss+xml" /><item><title>Streaming End-to-end Speech Recognition For Mobile Devices — mentioned by iceychris</title><link>https://news.ycombinator.com/item?id=25099920</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.06621:25099920</guid><pubDate>Sun, 15 Nov 2020 10:23:38 GMT</pubDate><description>&lt;p&gt;Hey HN! I&amp;#x27;ve been working on this for a while now. While there are other on-premise solutions using older models such as DeepSpeech [0], I haven&amp;#x27;t found a deployable project supporting multiple languages using the recent RNN-T Architecture [1]. Please note that this does not achieve SotA performance. Also, I&amp;#x27;ve only trained it on one GPU so there might be room for improvement. Edit: Don&amp;#x27;t expect good performance :D this is still in early stage development. I am looking for contributers :) [0] https://github.com/mozilla/DeepSpeech [1] https://arxiv.org/abs/1811.06621&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.06621/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Streaming End-to-end Speech Recognition For Mobile Devices — mentioned by polymorph1sm</title><link>https://news.ycombinator.com/item?id=23743699</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.06621:23743699</guid><pubDate>Mon, 06 Jul 2020 01:03:42 GMT</pubDate><description>&lt;p&gt;Online decoding in Kaldi uses GMM (or NN+GMM hybrid) where this repo focus in end to end approach using deep LSTM (similar to Google Pixel&amp;#x27;s offline speech to text [1]). [1] https://arxiv.org/pdf/1811.06621.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.06621/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Streaming End-to-end Speech Recognition For Mobile Devices — mentioned by walterbell</title><link>https://news.ycombinator.com/item?id=21453001</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.06621:21453001</guid><pubDate>Tue, 05 Nov 2019 15:08:53 GMT</pubDate><description>&lt;p&gt;Google published research [1][2] on offline recognition and it was rolled out earlier in 2019. Model size for English is claimed to be under 100MB, https://techcrunch.com/2019/03/12/googles-new-voice-recognit... [1] https://arxiv.org/pdf/1603.03185.pdf (2016) [2] https://arxiv.org/pdf/1811.06621.pdf (2018)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.06621/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Streaming End-to-end Speech Recognition For Mobile Devices — mentioned by walterbell</title><link>https://news.ycombinator.com/item?id=19945276</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.06621:19945276</guid><pubDate>Sat, 18 May 2019 02:45:33 GMT</pubDate><description>&lt;p&gt;Google mentioned at I/O that speech recognition will soon (this summer?) be performed locally on Android devices, with no voice data being sent to Google, because they have been able to reduce the size of the model dramatically. Is that related to federated learning? Paper: https://arxiv.org/abs/1811.06621&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.06621/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Streaming End-to-end Speech Recognition For Mobile Devices — mentioned by modeless</title><link>https://news.ycombinator.com/item?id=19372870</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.06621:19372870</guid><pubDate>Tue, 12 Mar 2019 20:50:27 GMT</pubDate><description>&lt;p&gt;Google AI blog: https://ai.googleblog.com/2019/03/an-all-neural-on-device-sp... arXiv: https://arxiv.org/abs/1811.06621&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.06621/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
