Easing transcripts for mooc videos with an asr lwmoo cs

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This document discusses using automated speech recognition (ASR) to generate transcripts for MOOC videos. It notes that manually transcribing video takes 10 times as long as the video. The document then discusses how ASR works, its accuracy, and how the University of Valencia used ASR to transcribe transcripts for 30 MOOC courses in 70% less time compared to manual transcription. It provides details on how to improve ASR quality through training models on related transcribed audio and text corpora. Overall, the document advocates that ASR is mature enough to help with captioning as long as the transcripts are then reviewed.

Engineering

Easing Transcripts for MOOC
Videos with an ASR (Automated
Speech Recognition) System
Carlos Turró, Jorge Civera and Jaime Busquets
Universitat Politècnica de València

The result of not having a screwdriver
• Pain
• Frustration
• Select a different tool

How can I transcribe a video?
• Manually transcribing a video
takes 10 times the length of the
video (RTF)
• Boring
• It’s worse if you don’t know
about the topic of the video

Automated Speech Recognition (ASR)
• How good is it?
• Will it recognize my special
words?
• Will it really help me?

UPValenciaX MOOCs - Transcribing
https://media.upv.es/?id=b444d12e-db23-9a4f-9b3b-d1d9275d4cb4

UPValenciaX MOOCs - Transcribing
https://www.youtube.com/watch?v=dKrbzX5NjTs

UPValenciaX MOOCs - Transcribing
30 MOOC courses

UPValenciaX MOOCs -Transcribing
• API
• Just after
recording
ASR
• RTF 3
• Teaching
Assistants
Review

UPValenciaX MOOCs –Transcribing
• API
• Just after
recording
ASR
• RTF 3
• Teaching
Assistants
Review
70% less time

Transcription and Translation Platform
• Post-editing web interface (in HTML5)

Crowdsourcing
• We are crowdsourcing the on-campus courses using our own Paella
video player.

How to get good transcription quality
•Transcription systems learn to transcribe from examples
–At least 50 hours of videos (audio) in the source language previously transcribed
to learn the acoustic model
–Texts in millions of words to learn the language model
Language Videos (hours) Text (Mwords)
Dutch 532 628
English 620 464000
Estonian 130 410
French 88 1800
German 36 135
Portuguese 54 573
Italian 54 868
Slovene 27 224
Spanish 128 654

How to get good transcription quality (II)
•Adaptation of transcription systems to the specific videos is key for
high accuracy
•Availability of videos manually transcribed with similar acoustic conditions
•Availability of text resources related to the video in question
· Title is used to retrieve related documents
· Slides contain most of the special words used by the lecturer
· Documents: text content from the course, additional text resources (bibliography)
• Sound quality of the video has a direct relationship with quality
• No noise, no background music, please

Conclusions
• ASR technology is enough mature to help a lot in captioning
• However, there should be a review phase
• Quality can be enhanced by providing transcribed videos
• At UP Valencia we got transcribed our 30 MOOC courses with 3x TA
cost 

Why transcription of MOOC video files?
• Accessibility

Why transcription of MOOC video files?
• Accessibility
• Searching into a video file
• Searching into a video repository
• Topic identification
• …and much more

Measuring Quality: Word Error rate
Where
S is the number of word substitutions,
D is the number of word deletions,
I is the number of word insertions,
N is the number of words in the reference text

Measuring Quality: Word Error Rate
Language WER
English
Dutch
20.8
24.5
Italian 17.7
Spanish 14.4
Estonian 27.1
French 22.7

Attributions
• Fingerspelling & tools Wikipedia
• Bored https://www.flickr.com/photos/left-hand/3132070992/
• Siri https://www.flickr.com/photos/smemon/8070397213/

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Easing transcripts for mooc videos with an asr lwmoo cs

1. Easing Transcripts for MOOC Videos with an ASR (Automated Speech Recognition) System Carlos Turró, Jorge Civera and Jaime Busquets Universitat Politècnica de València

6. The result of not having a screwdriver • Pain • Frustration • Select a different tool

7. How can I transcribe a video? • Manually transcribing a video takes 10 times the length of the video (RTF) • Boring • It’s worse if you don’t know about the topic of the video

8. Automated Speech Recognition (ASR) • How good is it? • Will it recognize my special words? • Will it really help me?

9. UPValenciaX MOOCs - Transcribing https://media.upv.es/?id=b444d12e-db23-9a4f-9b3b-d1d9275d4cb4

10. UPValenciaX MOOCs - Transcribing https://www.youtube.com/watch?v=dKrbzX5NjTs

11. UPValenciaX MOOCs - Transcribing 30 MOOC courses

12. UPValenciaX MOOCs -Transcribing • API • Just after recording ASR • RTF 3 • Teaching Assistants Review

13. UPValenciaX MOOCs –Transcribing • API • Just after recording ASR • RTF 3 • Teaching Assistants Review 70% less time

14. Transcription and Translation Platform • Post-editing web interface (in HTML5)

15. Crowdsourcing • We are crowdsourcing the on-campus courses using our own Paella video player.

16. How to get good transcription quality •Transcription systems learn to transcribe from examples –At least 50 hours of videos (audio) in the source language previously transcribed to learn the acoustic model –Texts in millions of words to learn the language model Language Videos (hours) Text (Mwords) Dutch 532 628 English 620 464000 Estonian 130 410 French 88 1800 German 36 135 Portuguese 54 573 Italian 54 868 Slovene 27 224 Spanish 128 654

17. How to get good transcription quality (II) •Adaptation of transcription systems to the specific videos is key for high accuracy •Availability of videos manually transcribed with similar acoustic conditions •Availability of text resources related to the video in question · Title is used to retrieve related documents · Slides contain most of the special words used by the lecturer · Documents: text content from the course, additional text resources (bibliography) • Sound quality of the video has a direct relationship with quality • No noise, no background music, please

18. Try yourself http://mllp.upv.es

19. Our next step Translations !!

20. Conclusions • ASR technology is enough mature to help a lot in captioning • However, there should be a review phase • Quality can be enhanced by providing transcribed videos • At UP Valencia we got transcribed our 30 MOOC courses with 3x TA cost 

21. Thanks! Questions?

22.

23. Why transcription of MOOC video files? • Accessibility

24. Why transcription of MOOC video files? • Accessibility • Searching into a video file • Searching into a video repository • Topic identification • …and much more

25. Measuring Quality: Word Error rate Where S is the number of word substitutions, D is the number of word deletions, I is the number of word insertions, N is the number of words in the reference text

26. Measuring Quality: Word Error Rate Language WER English Dutch 20.8 24.5 Italian 17.7 Spanish 14.4 Estonian 27.1 French 22.7

27. Attributions • Fingerspelling & tools Wikipedia • Bored https://www.flickr.com/photos/left-hand/3132070992/ • Siri https://www.flickr.com/photos/smemon/8070397213/

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