Justin Wabscott

Justin Wabscott, you are invited to the Teahouse!

Hi Justin Wabscott! Thanks for contributing to Wikipedia. Be our guest at the Teahouse! The Teahouse is a friendly space where new editors can ask questions about contributing to Wikipedia and get help from experienced editors like Gestrid (talk). Visit the Teahouse We hope to see you there! Delivered by HostBot on behalf of the Teahouse hosts 20:03, 18 August 2017 (UTC)

Your submission at Articles for creation: Studio 3T (August 18)

Your recent article submission to Articles for Creation has been reviewed! Unfortunately, it has not been accepted at this time. The reason left by SwisterTwister was:  The comment the reviewer left was: Please check the submission for any additional comments left by the reviewer. You are encouraged to edit the submission to address the issues raised and resubmit when they have been resolved.

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SwisterTwister talk 20:24, 18 August 2017 (UTC)

AfC notification: Draft:Studio 3T has a new comment

I've left a comment on your Articles for Creation submission, which can be viewed at Draft:Studio 3T. Thanks! SwisterTwister talk 04:30, 26 September 2017 (UTC)

Your submission at Articles for creation: Studio 3T (October 7)

Your recent article submission to Articles for Creation has been reviewed! Unfortunately, it has not been accepted at this time. The reason left by Primefac was:  The comment the reviewer left was: Please check the submission for any additional comments left by the reviewer. You are encouraged to edit the submission to address the issues raised and resubmit when they have been resolved.

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Primefac (talk) 23:15, 7 October 2017 (UTC)

Your submission at Articles for creation: Studio 3T (March 5)

Your recent article submission to Articles for Creation has been reviewed! Unfortunately, it has not been accepted at this time. The reason left by MadeYourReadThis was:  The comment the reviewer left was: Please check the submission for any additional comments left by the reviewer. You are encouraged to edit the submission to address the issues raised and resubmit when they have been resolved.

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MadeYourReadThis (talk) 17:32, 5 March 2018 (UTC)

Your submission at Articles for creation: Studio 3T (April 19)

Your recent article submission to Articles for Creation has been reviewed! Unfortunately, it has not been accepted at this time. The reason left by KJP1 was: Please check the submission for any additional comments left by the reviewer. You are encouraged to edit the submission to address the issues raised and resubmit when they have been resolved.

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KJP1 (talk) 20:42, 19 April 2018 (UTC)

Tony Robinson

Tony Robinson is a pioneer in the application of recurrent neural networks to speech recognition, being one of the first to discover the practical capabilities of deep neural networks and how they can be used to benefit speech recognition. He first published on the topic while studying for his PhD at Cambridge University in the 1980s.

In 1995, Robinson formed SoftSound Ltd, a speech technology company which was acquired by search pioneer Autonomy with a view to using the technology to make unstructured video and voice data easily searchable. Robinson helped build the fastest vocabulary speech recognition system available at the time, and operating in more languages than any other model, by developing and focusing on recurrent neural networks.

From 2008 – 2010, Robinson was the Director of the Advanced Speech Group at SpinVox, a provider of speech-to-text conversion services for carrier markets, including wireless, VoIP and cable. Their Automatic Speech Recognition (ASR) system was for a while being used more than one million times per day and SpinVox was subsequently acquired by global speech technology company Nuance.

Tony Robinson was also founder of Speechmatics which launched its cloud-based speech recognition services in 2012. Speechmatics subsequently announced a significant technological breakthrough in accelerated new language modeling late in 2017. Robinson continues to publish papers at the rapidly developing edges of speech recognition technology, especially in the area of statistical language modelling.