natural-speech-technology.org

Natural Speech Technology | Natural Speech Technology

Skip to main content. Natural Speech Technology (NST) is an EPSRC Programme Grant with the aim of significantly advancing the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. NST is a collaboration between the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. The Speech Group at the University of Cambridge. And The Speech and Hearing Research Group (SpandH), University of Sheffield.

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University Of Edinburgh

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University Of Edinburgh

Steve Renals

School ●●●●●●●rmatics

Edi●●●rgh , City Of Edinburgh, EH8 9AB

GB

44.1●●●●4589

s.●●●●●●@ed.ac.uk

View this contact

University Of Edinburgh

Steve Renals

School ●●●●●●●rmatics

Edi●●●rgh , City Of Edinburgh, EH8 9AB

GB

44.1●●●●4589

s.●●●●●●@ed.ac.uk

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Natural Speech Technology | Natural Speech Technology | natural-speech-technology.org Reviews

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Skip to main content. Natural Speech Technology (NST) is an EPSRC Programme Grant with the aim of significantly advancing the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. NST is a collaboration between the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. The Speech Group at the University of Cambridge. And The Speech and Hearing Research Group (SpandH), University of Sheffield.

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Natural Speech Technology | Natural Speech Technology | natural-speech-technology.org Reviews

https://natural-speech-technology.org

Skip to main content. Natural Speech Technology (NST) is an EPSRC Programme Grant with the aim of significantly advancing the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. NST is a collaboration between the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. The Speech Group at the University of Cambridge. And The Speech and Hearing Research Group (SpandH), University of Sheffield.

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natural-speech-technology.org

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User account | Natural Speech Technology

http://www.natural-speech-technology.org/user/password

Skip to main content. Request new password (active tab). Username or e-mail address *.

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News | Natural Speech Technology

http://www.natural-speech-technology.org/news

Skip to main content. Natural Speech Technology Annual Meeting 2016. Wed, 06/08/2016 - 10:49 mwester. Read more about Natural Speech Technology Annual Meeting 2016. NST at ICASSP 2016. Fri, 03/25/2016 - 00:00 mwester. Read more about NST at ICASSP 2016. Cambridge NST team wins MGB challenge. Mon, 12/21/2015 - 15:39 mwester. Read more about Cambridge NST team wins MGB challenge. NST Show and Tell Winners at Interspeech 2015. Mon, 09/14/2015 - 15:43 mwester. NST at Interspeech 2015.

3

Best Paper Award for Pawel Swietojanski | Natural Speech Technology

http://www.natural-speech-technology.org/node/281

Skip to main content. Best Paper Award for Pawel Swietojanski. Tue, 01/20/2015 - 16:48 mwester. Congratulations to NST researcher. Who was awarded the best paper award at the 2014 IEEE Spoken Language Workshop (SLT2014). Held in Lake Tahoe. Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models. Co-authored with Steve Renals.

4

Natural Speech Technology

http://www.natural-speech-technology.org/calendar-node-field-date

Skip to main content. Monday, August 1, 2016.

5

Events | Natural Speech Technology

http://www.natural-speech-technology.org/events

Skip to main content. Natural Speech Technology Annual Meeting 2016. Wed, 06/08/2016 - 10:49 mwester. Read more about Natural Speech Technology Annual Meeting 2016. Natural Speech Technology Annual Meeting 2015. Thu, 05/07/2015 - 14:35 mwester. Read more about Natural Speech Technology Annual Meeting 2015. Natural Speech Technology Annual Meeting 2014. Tue, 04/29/2014 - 14:12 mwester. Read more about Natural Speech Technology Annual Meeting 2014. NST - researchers' away days January 2014.

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mi.eng.cam.ac.uk

Machine Intelligence Laboratory

http://mi.eng.cam.ac.uk/Main/MJFG

Cambridge University Department of Engineering. Information Engineering Division (F). Mjfg [at] eng.cam.ac.uk. Mark Gales is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group) and a Fellow of Emmanuel College. He is a member of the Speech Research Group. Together with faculty staff members Steve Young, Phil Woodland and Bill Byrne. Large vocabulary continuous speech recognition. Automatic Assessment of Spoken English. HTK Ri...

mi.eng.cam.ac.uk

Machine Intelligence Laboratory

http://mi.eng.cam.ac.uk/~wjb31

Cambridge University Department of Engineering. Information Engineering Division (F). Professor of Information Engineering. Head of the Information Engineering Division. Fellow of Clare College. Billbyrne@eng.cam.ac.uk. I am Course Director for the MPhil in Machine Learning, Speech, and Language Technology. I currently offer graduate modules on Statistical Machine Translation. In undergraduate engineering, I teach third year Signals and Systems, Random Processes. Dr Adrià de Gispert. Information provided...

svr-www.eng.cam.ac.uk

Machine Intelligence Laboratory

http://svr-www.eng.cam.ac.uk/Main/MJFG

Cambridge University Department of Engineering. Information Engineering Division (F). Mjfg [at] eng.cam.ac.uk. Mark Gales is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group) and a Fellow of Emmanuel College. He is a member of the Speech Research Group. Together with faculty staff members Steve Young, Phil Woodland and Bill Byrne. Large vocabulary continuous speech recognition. Automatic Assessment of Spoken English. HTK Ri...

svr-www.eng.cam.ac.uk

Machine Intelligence Laboratory

http://svr-www.eng.cam.ac.uk/Main/PCW

Cambridge University Department of Engineering. Information Engineering Division (F). Pcw [at] eng.cam.ac.uk. Phil Woodland is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group), of which he is currently the head, and a Professorial Fellow of Peterhouse. He is also the head of the Speech Research Group. And works closely with other staff members of the group Prof Mark Gales. And Prof Steve Young. HTK Rich Audio Transcription.

mi.eng.cam.ac.uk

Machine Intelligence Laboratory

http://mi.eng.cam.ac.uk/Main/PCW

Cambridge University Department of Engineering. Information Engineering Division (F). Pcw [at] eng.cam.ac.uk. Phil Woodland is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group), of which he is currently the head, and a Professorial Fellow of Peterhouse. He is also the head of the Speech Research Group. And works closely with other staff members of the group Prof Mark Gales. And Prof Steve Young. HTK Rich Audio Transcription.

spandh.dcs.shef.ac.uk

Speech and Hearing

http://spandh.dcs.shef.ac.uk/projects

Department of Computer Science. You are here: Home. Speech and Hearing home. Currently these projects are active (in alphabetical order):. CHiME: Computational Hearing in Multisource Environments. Jon Barker, Phil Green, Ning Ma and Heidi Christensen. Natural Speech Technology (NST). Thomas Hain and Phil Green. Perceptual constancy in real-room listening by humans and machines. DiSArM: Digital Speech Recovery from Articulator Movement. Phil Green, Roger Moore and Robin Hofe. Roger Moore and Thomas Hain.

spandh.dcs.shef.ac.uk

Speech and Hearing

http://spandh.dcs.shef.ac.uk/news.html

Department of Computer Science. You are here: Home. Speech and Hearing home. We welcome Dr. Angel Gomez. From the University of Granada who is visting SPandH for the Summer to work on silent speech with Dr. Jose Andres Gonzalez. And with Dr. Jon Barker. We welcome new PhD student Sadeen Alharbi. To the group, who will be working with Dr. Anthony Simons. And Prof. Phil Green. We welcome new visitor Dr. Chengli Sun to the group. He will be working with Prof. Guy Brown. Posted: January 15, 2016). We welcome...

mi-webserv2.eng.cam.ac.uk

Machine Intelligence Laboratory

http://mi-webserv2.eng.cam.ac.uk/Main/MJFG

Cambridge University Department of Engineering. Information Engineering Division (F). Mjfg [at] eng.cam.ac.uk. Mark Gales is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group) and a Fellow of Emmanuel College. He is a member of the Speech Research Group. Together with faculty staff members Steve Young, Phil Woodland and Bill Byrne. Large vocabulary continuous speech recognition. Automatic Assessment of Spoken English. HTK Ri...

mi-webserv2.eng.cam.ac.uk

Machine Intelligence Laboratory

http://mi-webserv2.eng.cam.ac.uk/Main/PCW

Cambridge University Department of Engineering. Information Engineering Division (F). Pcw [at] eng.cam.ac.uk. Phil Woodland is a Professor of Information Engineering in the Machine Intelligence Laboratory. Formerly the Speech Vision and Robotics (SVR) group), of which he is currently the head, and a Professorial Fellow of Peterhouse. He is also the head of the Speech Research Group. And works closely with other staff members of the group Prof Mark Gales. And Prof Steve Young. HTK Rich Audio Transcription.

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Natural Speech Technology | Natural Speech Technology

Skip to main content. Natural Speech Technology (NST) is an EPSRC Programme Grant with the aim of significantly advancing the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness. NST is a collaboration between the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. The Speech Group at the University of Cambridge. And The Speech and Hearing Research Group (SpandH), University of Sheffield.

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