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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Speech: Scaling up end-to-end speech recognition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1412.5567/</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/1412.5567/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Speech: Scaling up end-to-end speech recognition — mentioned by orra</title><link>https://news.ycombinator.com/item?id=28074003</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:28074003</guid><pubDate>Thu, 05 Aug 2021 14:13:45 GMT</pubDate><description>&lt;p&gt;Mozilla announced Deep Speech[1] around the same time as Common Voice. Mozilla Deep Speech is an open source speech recognition engine, based upon Baidu&amp;#x27;s Deep Speech research paper[2]. Unsurprisingly, Deep Speech requires a corpus such as... Common Voice. [1] https://github.com/mozilla/DeepSpeech [2] https://arxiv.org/abs/1412.5567&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — HN submission</title><link>https://news.ycombinator.com/item?id=17711704</link><guid isPermaLink="false">urn:hackerpapers:submission:1412.5567:17711704</guid><pubDate>Tue, 07 Aug 2018 23:00:33 GMT</pubDate><description>&lt;p&gt;Deep Speech: Scaling up end-to-end speech recognition (2014)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Deep Speech: Scaling up end-to-end speech recognition — mentioned by kdavis</title><link>https://news.ycombinator.com/item?id=15840259</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:15840259</guid><pubDate>Sun, 03 Dec 2017 23:27:27 GMT</pubDate><description>&lt;p&gt;Added an enhancement request, issue 1064[1], to github, asking for the clients to support longer audio clips. I can&amp;#x27;t promise when we&amp;#x27;ll get to it, as from now until new year is a bit of a wash. I don&amp;#x27;t know of any detailed comparisons of commercial solutions. However, with respect to pure word error rate, the article[2] does a comparison of several engines as of circa 2015. [1] https://github.com/mozilla/DeepSpeech/issues/1064 [2] https://arxiv.org/abs/1412.5567&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — mentioned by stephensonsco</title><link>https://news.ycombinator.com/item?id=13690129</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:13690129</guid><pubDate>Mon, 20 Feb 2017 19:26:46 GMT</pubDate><description>&lt;p&gt;Deepgram just posted an open sourced Kur Speech Recognition example based on Deepspeech (https://arxiv.org/abs/1412.5567) on our blog. We&amp;#x27;d love to help people get it running and spread the DNN speech love.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — mentioned by oska</title><link>https://news.ycombinator.com/item?id=10358691</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:10358691</guid><pubDate>Fri, 09 Oct 2015 07:54:55 GMT</pubDate><description>&lt;p&gt;&amp;gt; Of course, OCR and speech recognition are somewhat different fields, but if anyone is an expert for Chinese language, then it should be Baidu. It&amp;#x27;s not about being experts in Mandarin. The basis of their approach is that it doesn&amp;#x27;t encompass any expert design. It&amp;#x27;s an end-to-end deep learning approach. From the article: &amp;gt; Our system is different than that system in that it’s more what we call end-to-end. Rather than having a lot of human-engineered components that have been developed over decades of speech research — by looking at the system and saying what features are important or which…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — mentioned by jhartmann</title><link>https://news.ycombinator.com/item?id=9715057</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:9715057</guid><pubDate>Sun, 14 Jun 2015 14:39:47 GMT</pubDate><description>&lt;p&gt;Actually, state of the art speech recognition has switched over to having a Recursive Neural Network directly run over the audio input. Take a look at the paper at http://arxiv.org/abs/1412.5567 and http://usa.baidu.com/deep-speech-lessons-from-deep-learning/ However combining learning features with other systems is a very powerful approach and combining SVM&amp;#x27;s on top of the learned features of a Neural Network I would say is common. I personally am more interested in approaches like Deep Fried Convnets (http://arxiv.org/abs/1412.7149) that combine kernel methods as part of the Neural Networks…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — HN submission</title><link>https://news.ycombinator.com/item?id=9049597</link><guid isPermaLink="false">urn:hackerpapers:submission:1412.5567:9049597</guid><pubDate>Sat, 14 Feb 2015 13:30:34 GMT</pubDate><description>&lt;p&gt;Deep Speech: Scaling up end-to-end speech recognition&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;63 points; 8 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Deep Speech: Scaling up end-to-end speech recognition — HN submission</title><link>https://news.ycombinator.com/item?id=8770425</link><guid isPermaLink="false">urn:hackerpapers:submission:1412.5567:8770425</guid><pubDate>Fri, 19 Dec 2014 00:03:47 GMT</pubDate><description>&lt;p&gt;DeepSpeech: Scaling up end-to-end speech recognition [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Deep Speech: Scaling up end-to-end speech recognition — mentioned by redknight666</title><link>https://news.ycombinator.com/item?id=8770017</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.5567:8770017</guid><pubDate>Thu, 18 Dec 2014 22:23:56 GMT</pubDate><description>&lt;p&gt;The actual paper: http://arxiv.org/abs/1412.5567&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&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>Deep Speech: Scaling up end-to-end speech recognition — HN submission</title><link>https://news.ycombinator.com/item?id=8769067</link><guid isPermaLink="false">urn:hackerpapers:submission:1412.5567:8769067</guid><pubDate>Thu, 18 Dec 2014 19:14:04 GMT</pubDate><description>&lt;p&gt;DeepSpeech: Scaling up end-to-end speech recognition&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;79 points; 22 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1412.5567/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
