• Room 07.030 - Ashby Tower

    United Kingdom

20002019
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Fingerprint Dive into the research topics where Ming Ji is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
Speech recognition Engineering & Materials Science
Speech enhancement Engineering & Materials Science
Lighting Engineering & Materials Science
Face recognition Engineering & Materials Science
Feature extraction Engineering & Materials Science
Additive noise Engineering & Materials Science
Experiments Engineering & Materials Science
Testing Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2005 2018

R1933CSC: Corpus-Based Speech Separation

Ji, M. & Crookes, D.

01/08/200717/11/2019

Project: Research

R5017ECI: Pathological Cancer Image Analysis

Ji, M. & Crookes, D.

25/04/201731/12/2018

Project: Research

Research Output 2000 2019

Full-Sentence Correlation: a Method to Handle Unpredictable Noise for Robust Speech Recognition

Ming, J. & Crookes, D., Sep 2019, Interspeech 2019: Proceedings. p. 436-440 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Speech recognition
Acoustic noise
Viterbi algorithm
Acoustics
Semantics

A novel method for unsupervised scanner-invariance with DCAE model

Moyes, A., Zhang, K., Wang, L., Ji, M., Crookes, D. & Zhou, H., 03 Sep 2018, British Machine Vision Conference (BMVC 2018). Newcastle, UK: BMVC , 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Invariance
Tissue
Masks
Scanning
1 Citation (Scopus)

Matching Larger Image Areas for Unconstrained Face Identification

Gaston, J., Ji, M. & Crookes, D., 28 Jun 2018, In : IEEE Transactions on Cybernetics. 49, 8, p. 3191-3202 12 p.

Research output: Contribution to journalArticle

Open Access
File
Lighting
Testing
Experiments
Uncertainty

Speech Segment Clustering for Real-Time Exemplar-Based Speech Enhancement

Nesbitt, D., Crookes, D. & Ji, M., 13 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 5419 - 5423

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Speech enhancement
Speech analysis
8 Citations (Scopus)

Speech Enhancement Based on Full-Sentence Correlation and Clean Speech Recognition

Ji, M. & Crookes, D., Mar 2017, In : IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25, 3, p. 531-543 13 p.

Research output: Contribution to journalArticle

Open Access
File
Speech enhancement
sentences
speech recognition
Speech recognition
Noise

Prizes

InterTradeIreland Fusion Programme Exemplar 2013

Ming Ji (Recipient), Mar 2014

Prize: Prize (including medals and awards)

File

Third internationally (and first in the UK) in the 1st International Speech Separation Challenge

Ming Ji (Recipient), TJ Hazen (Recipient) & James Glass (Recipient), Sep 2006

Prize: Other distinction

Activities 2005 2018

  • 7 PhD external examination
  • 1 KTP & Consultancy in kind
  • 1 Visiting an external academic institution

PhD external examination – Loughborough University (2018)

Ming Ji (Examiner)
2018 → …

Activity: Examination typesPhD external examination

Audio-Visual Speech Processing

Ming Ji (Advisor)
23 Mar 201722 Mar 2019

Activity: Consultancy typesKTP & Consultancy in kind

PhD external examination – Hertfordshire University (2015, 16)

Ming Ji (Examiner)
20152016

Activity: Examination typesPhD external examination

PhD external examination - Birmingham University (2012)

Ming Ji (Examiner)
2012 → …

Activity: Examination typesPhD external examination

PhD external examination – University College Dublin (2008, 2013)

Ming Ji (Examiner)
20082013

Activity: Examination typesPhD external examination

Impact

Applications of Novel Speech and Audio-Visual Processing Research

Ming Ji (Participant), Ramji Srinivasan (Participant), Daniel Crookes (Participant), Darryl Stewart (Participant), Niall McLaughlin (Participant), Roger Woods (Participant)

Impact: Economic Impact, Health Impact