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MINI | Machine Intelligence for Natural Interfaces

Machine Intelligence for Natural Interfaces (MINI) Group. The Machine Intelligence for Natural Interfaces (MINI) group is a research group in the Department of Computer Science. In the University of Sheffield, UK, known for its world leading research groups in machine learning, natural language and speech processing. MINI is part of the Speech and Hearing ( SPandH. Group, connected to CATCH. And many other research groups in the University. Dresden, Germany, 2015. Dresden, Germany, 2015. Inproceedings{do...

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MINI | Machine Intelligence for Natural Interfaces | mini.dcs.shef.ac.uk Reviews

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Machine Intelligence for Natural Interfaces (MINI) Group. The Machine Intelligence for Natural Interfaces (MINI) group is a research group in the Department of Computer Science. In the University of Sheffield, UK, known for its world leading research groups in machine learning, natural language and speech processing. MINI is part of the Speech and Hearing ( SPandH. Group, connected to CATCH. And many other research groups in the University. Dresden, Germany, 2015. Dresden, Germany, 2015. Inproceedings{do...

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MINI | Machine Intelligence for Natural Interfaces | mini.dcs.shef.ac.uk Reviews

https://mini.dcs.shef.ac.uk

Machine Intelligence for Natural Interfaces (MINI) Group. The Machine Intelligence for Natural Interfaces (MINI) group is a research group in the Department of Computer Science. In the University of Sheffield, UK, known for its world leading research groups in machine learning, natural language and speech processing. MINI is part of the Speech and Hearing ( SPandH. Group, connected to CATCH. And many other research groups in the University. Dresden, Germany, 2015. Dresden, Germany, 2015. Inproceedings{do...

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mini.dcs.shef.ac.uk

1

ASRU: 4 MINI papers | MINI

http://mini.dcs.shef.ac.uk/3-or-4-papers-accepted-at-asru

ASRU: 4 MINI papers. ASRU: 4 MINI papers. ASRU: 4 MINI papers. December 1, 2015. Comments Off on ASRU: 4 MINI papers. O Saz, M. Doulaty, S. Deena, R. Milner, R. Ng, M. Hasan, Y. Liu, T. Hain, “The 2015 Sheffield System for Transcription of Multi–Genre Broadcast Media”, ASRU 2015. Scottsdale, AZ, 2015. R Milner, O. Saz, S. Deena, M. Doulaty, R. Ng, T. Hain, “The 2015 Sheffield system for longitudinal diarisation of broadcast media”, ASRU 2015. Scottsdale, AZ, 2015. Laquo; Previous Article. October 12, 2015.

2

Publications | MINI

http://mini.dcs.shef.ac.uk/publications

E Loweimi, J. Barker, and T. Hain, “Statistical Normalisation of Phase-based Feature Representation for Robust Speech Recognition,” in ICASSP 2017. New Orleans, USA, 2017. Inproceedings{loweimi ICASSP:17, address = {New Orleans, USA}, author = {E. Loweimi and J. Barker and T. Hain}, booktitle = { ICASSP 2017} , title = { Statistical Normalisation of Phase-based Feature Representation for Robust Speech Recognition} , year = {2017} }. San Francisco, California, USA, 2016. Shanghai, China, 2016. Inproceedin...

3

Public outreach activities | MINI

http://mini.dcs.shef.ac.uk/mobileuni2015

October 4, 2015. Comments Off on Public outreach activities. Raymond represented MINI and introduced our research on speech recognition and machine translation to general public in Sheffield Mobile University 2015 held on 26/Sep. The double decker where mobile university lectures are conducted. Audience were given an ipad where there was synchronised display of slides from Raymond. Refer to the Sheffield mobile university homepage. Laquo; Previous Article. Sarah Al-Shareef passed her viva. August 20, 2015.

4

homeService paper accepted at TechAAL 2015 | MINI

http://mini.dcs.shef.ac.uk/homeservice-paper-accepted-at-techaal-2015

HomeService paper accepted at TechAAL 2015. HomeService paper accepted at TechAAL 2015. HomeService paper accepted at TechAAL 2015. October 12, 2015. Comments Off on homeService paper accepted at TechAAL 2015. Paper “Speech-Enabled Environmental Control in an AAL setting for people with Speech Disorders: a Case Study” has been accepted at TechAAL 2015. IET International Conference on Technologies for Active and Assisted Living) for an oral presentation. Heidi Christensen. Laquo; Previous Article.

5

Resources | MINI

http://mini.dcs.shef.ac.uk/resources

Factored WSJCAM0 speech corpus. Improved diarisation reference for NIST RT07 meeting data. Creative Commons Attribution 4.0 International License. ShefCE: A Cantonese-English Bilingual Speech Corpus. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Apache License, Version 2.0. Department of Computer Science. The University of Sheffield. Regent Court, 211 Portobello, Sheffield, S1 4DP. Tel: 44 (0) 114 222 1800 Fax: 44 (0) 114 222 1810.

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MINI | Machine Intelligence for Natural Interfaces

Machine Intelligence for Natural Interfaces (MINI) Group. The Machine Intelligence for Natural Interfaces (MINI) group is a research group in the Department of Computer Science. In the University of Sheffield, UK, known for its world leading research groups in machine learning, natural language and speech processing. MINI is part of the Speech and Hearing ( SPandH. Group, connected to CATCH. And many other research groups in the University. Dresden, Germany, 2015. Dresden, Germany, 2015. Inproceedings{do...

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