Hosted by Mark Seligman (Spoken Translation) with panelists: Dr. Alex Waibel (KIT), Chris Wendt (Microsoft).
A conversation between Mark Seligman, Dr. Alex Waibel and Chris Wendt about the current Speech-to-Speech Translation Technology Landscape and future developments.
6. Interviewees
Interviewee Date (in 2016)
Alibaba (Eric Liu) 1 July
Chinese Academy of Sciences (Chengqing Zong) 4 August
CMU/Karlsruhe Institute of Technology (Alex Waibel) 12 August
EML (Siegfried 'Jimmy' Kunzmann) 20 July
IBM/Microsoft ASG (Yuqing Gao) 1 August
Lexifone (Ike Sagie) 14 July
Logbar (Takuro Yoshida) 18 August
Microsoft/Skype (Chris Wendt) 5 July
NICT (Eiichiro Sumita) 28 July
Speechlogger (Ronen Rabinovici) 22 July
SpeechTrans (John Frei and Yan Auerbach) 12 July
Spoken Translation, Inc. (Mark Seligman) 8 August
Translate Your World (Sue Reager) 12 July
7. Interview Questions
• Origins and motivation
– Why did you undertake your S2ST
project and lead it to an operational
conclusion?
– What are the immediate goals and
achievements?
– What longer term goals do you have?
• Technology
– Which MT system do you use?
– Which ASR tech do you use?
– Which TTS tech do you use?
– Which emerging technologies do you
see as becoming relevant?
• Use case and market
– What is your primary use case? Are any
other use cases emerging?
– What is your target market? Which
cohort of users?
– What is your business model for this
product/service?
– How do you price the product/service?
• Language pairs
– Which language pairs are most
used/required?
– Which new ones do you plan to develop
and why?
• SWOT analysis
– Strengths (best use cases for S2ST, your
organization’s strong points)
– Weaknesses (worst use cases for S2ST,
your organization’s weak points)
– Opportunities (confluence of
technologies, needs, and lifestyles)
– Threats (e.g., a disruptive technology
shift)
10. The Way Forward
• Improve statistical MT
– User feedback + machine learning
– More, better data
• Knowledge source integration
– Discourse
– Domain
– Prosody …
• The Return of Semantics
– Interlingua/ontologies
– Perceptually grounded semantics
• New tech
– Deep neural networks
– Other AI