SPINDLE – Speech to Text to Keywords to Captions – The Grand Finale

SPINDLE: Increasing OER discoverability by improved keyword metadata via automatic speech to text transcription. A summary of the project  using the words of the voice-over that accompanies the SPINDLE overview video that documents the project. 1. Aim – Generate keywords automatically … Continue reading

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SPINDLE – Benefits and Impact

Project SPINDLE is about to end. As lead on the project here at the Academic IT services I’ve tried to summarise the main impact and benefits of the work: Training – improved skills within the OpenSpires and Media teams Discoverability -making … Continue reading

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SPINDLE Automatic Keyword Generation: Step by Step

In this post we are going to show the automatic generation of keywords from the automatic transcription of a podcast. First of all, please find below a figure showing the main workflow of the SPINDLE project. From our podcasts, we … Continue reading

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SPINDLE Frequently Asked Questions

What is Spindle? SPINDLE has been a project funded by JISC as part of their “Rapid Innovation in Open Educational Resources” programme. The project experimented with speech-to-text technologies to automatically create transcripts of Open Educational Resources (OER), and develop new … Continue reading

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SPINDLE Project Outputs

SPINDLE set up and documented a workflow to generate the automatic transcription of future open access audio and video podcasts using an online platform concentrating on generating automatic keyword extraction for better cataloguing. SPINDLE tested and documented this workflow by: … Continue reading

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SPINDLE project: Lessons Learnt

The SPINDLE project is wrapping up and will end in September 2012. Please find below some of the lessons learnt during the project. We can obtain good keywords even if the automatic transcription has got lots of errors. You do … Continue reading

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SPINDLE Speech to text caption engine for media producers

The SPINDLE project is proud to announce we have now extended the functionality of the keyword extraction tool by creating a much bigger set of tools based around a captioning editor – the idea is that the tools will hide … Continue reading

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Project Spindle Update: Condor Cluster

Stop the presses! As part of the SPINDLE project we are running the whole University of Oxford podcast database through an automatic speech recognizer using the Phonetics Laboratory Condor cluster. Condor is a workload management system for computing intensive jobs … Continue reading

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Spindle Project in a snapshot

Please find below a figure representing the main goal of the SPINDLE project using as an example one of our most succesful podcasts, The nature of human beings and the question of their ultimate origin. An additional figure can be … Continue reading

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PDF, XML, TextGrid, XMP, TXT and then…

As part of the SPINDLE project we are producing a set of automatic transcriptions and automatic keywords for the university podcasts to improve the OER discoverability. In this post we are going to analyse the variety of different formats that … Continue reading

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