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Auto-translation, synthetic
voices and virtual voiceover in
news production
Dmitry Shishkin, Digital Development Editor,
BBC World Service, @dmitryshishkin
News: Rewired, London, March 2016
90 million
unique visitors made November 2015 a record month for
WS language sites
42 million
unique visitors made November 2012 – we’ve grown
100% in 3 years
1 billion
more people will be online by 2020 – coming mainly
from Africa, Middle East and Asia – all on mobile
phones
Source: Benedict Evans, A16z
How does it actually work end to end?
OK, but how do English language voices sound?
 Computer assisted translation
 Text to speech voice synthesis
 Editorial considerations, audience
feedback
3 key areas to analyse
Computer assisted translation
 Google Translate: not perfect, but
workable, a good starting point
 Positives: good with names,
geographical and personal
 Limitations: word order, morphology,
no cultural awareness
Computer assisted translation
Text to speech synthesis
 Single editor produces multiple
voices = scalability
 Voices are actually very good and
getting better
 Editors are not dependant on studios
and recoding equipment
Text to speech synthesis
 Incredible pushback to start with,
‘robots invasion’, quality acceptance
later on
 Overwhelmingly positive reaction
from Japanese users
 Russian next, to be followed by
Spanish, Portuguese, Korean
Editorial considerations, audience feedback
Editorial considerations, audience feedback
 “I had no idea this kind of thing existed. I got a
real sense of the future. I have just one word:
…awesome!”
 “As I can't speak English, I've been waiting for a
site like this. I know it's a computer voice, but
it's easy to understand, so thank you”
 “It would be great if you could display the
original English text, while the voices read in
Japanese”
Thank you – any questions?
Dmitry Shishkin, Digital Development Editor,
BBC World Service, @dmitryshishkin
News: Rewired, London, March 2016

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Dmitry Shishkin – Virtual voiceover translation in news production

  • 1. Auto-translation, synthetic voices and virtual voiceover in news production Dmitry Shishkin, Digital Development Editor, BBC World Service, @dmitryshishkin News: Rewired, London, March 2016
  • 2.
  • 3. 90 million unique visitors made November 2015 a record month for WS language sites
  • 4. 42 million unique visitors made November 2012 – we’ve grown 100% in 3 years
  • 5. 1 billion more people will be online by 2020 – coming mainly from Africa, Middle East and Asia – all on mobile phones Source: Benedict Evans, A16z
  • 6.
  • 7. How does it actually work end to end?
  • 8. OK, but how do English language voices sound?
  • 9.  Computer assisted translation  Text to speech voice synthesis  Editorial considerations, audience feedback 3 key areas to analyse
  • 11.  Google Translate: not perfect, but workable, a good starting point  Positives: good with names, geographical and personal  Limitations: word order, morphology, no cultural awareness Computer assisted translation
  • 12. Text to speech synthesis
  • 13.  Single editor produces multiple voices = scalability  Voices are actually very good and getting better  Editors are not dependant on studios and recoding equipment Text to speech synthesis
  • 14.  Incredible pushback to start with, ‘robots invasion’, quality acceptance later on  Overwhelmingly positive reaction from Japanese users  Russian next, to be followed by Spanish, Portuguese, Korean Editorial considerations, audience feedback
  • 15. Editorial considerations, audience feedback  “I had no idea this kind of thing existed. I got a real sense of the future. I have just one word: …awesome!”  “As I can't speak English, I've been waiting for a site like this. I know it's a computer voice, but it's easy to understand, so thank you”  “It would be great if you could display the original English text, while the voices read in Japanese”
  • 16. Thank you – any questions? Dmitry Shishkin, Digital Development Editor, BBC World Service, @dmitryshishkin News: Rewired, London, March 2016

Editor's Notes

  1. Creative challenge, channel in Multilingual format – how might it look like?
  2. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  3. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  4. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  5. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  6. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  7. Purpose is innovation, checking production capabilities, learning about audience tolerance levels
  8. Purpose is innovation, checking production capabilities, learning about audience tolerance levels