speech technology and big data
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Nick Campbell
Speech Communication Lab
Trinity College Dublin, Ireland
*Speech Technology & big data
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*Who am I . . .
*TCD – Stokes Professor (Dublin)
*CNGL – PI – Delivery & Interaction
*ELRA – board member / VP – speech
*ISCA – board member – workshops
*IEEE – Sig Proc Soc - SLTC member
*ATR/NiCT – research director(Japan)
*Speech Prosody 2014 (Dublin) host
* Speech scientist/researcher/corpus analyst
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*Speech research insights
*AT&T Bell Labs
*The ideas people – think ‘BIG’
*IBM UK Scientific Centre
*The corpus people – ‘collect it all’
*ATR basic telecom research
*The fundamentals - learn how to ‘infer’ from it
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*collecting speech data
*we used to be considered BIG – speech data (and now multimedia) gobbled up memory
*I collected 1500 hours of everyday chat/daily conversations in 2000 – (@1GB per minute) - took 5-years to process!
*now Apple, Google, Ms, .. get that each minute (but the secret is in the metadata)
*we need accessible data & tools for everybody!
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*protecting speech data
*but we need to manage privacy issues first!
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*identifying speech data
*and we need a way to protect IP as well
*written publications have ISBN standard
*work is now underway (cf ELRA & COCOSDA) to institute ISLRN for Language Resources
*researchers need to get credit for corpora as well as for publishing research results
*The community needs a way to identify, acknowledge, attribute, and reference data
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*tagging speech
*tools for processing speech & multimodal data
*htk, hts, R, etc . . . not simple to use
*little consensus on what features to encode
*manual bootstrap – much too time-consuming!
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*content analytics
*social interaction
*personal idiosyncracies
*group dynamics – multimodal data (TB/hr)
*issues of robustness / domain specificity / privacy / storage & archiving / redistribution
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*speech and language!
context analytics:
*cultural and language-specific needs
*multimodal – multimedia – multilingual
*tools for ‘less-well-supported’ languages
*e.g., U-STAR consortium for speech research – sharing tools & data & knowledge for research
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*getting help
*European Language Resources Association
*COCOSDA – int’l coordinating committee
*IEEE SLTC, ISCA SIGS, there are places to go
*but are they ready for really BIG data? perhaps not yet . . .
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*next steps
*curricula prepare people
*what standards to rely on?
*what resources available?
*what features to extract?
*what tools to work with?
*what use to put it to?
*what info to hide?
*what to do next?
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*Thank you . . .