Fasih Haider
Fasih Haider
Research Fellow @ Edinburgh Medical School, the University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
Alzheimer's dementia recognition through spontaneous speech: The ADReSS challenge
S Luz, F Haider, S de la Fuente, D Fromm, B MacWhinney
arXiv preprint arXiv:2004.06833, 2020
An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech
F Haider, S De La Fuente, S Luz
IEEE Journal of Selected Topics in Signal Processing, 2020
Detecting cognitive decline using speech only: The adresso challenge
S Luz, F Haider, S de la Fuente, D Fromm, B MacWhinney
arXiv preprint arXiv:2104.09356, 2021
Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods
F Haider, S Pollak, P Albert, S Luz
Computer Speech & Language 65, 101119, 2021
Presentation quality assessment using acoustic information and hand movements
F Haider, L Cerrato, N Campbell, S Luz
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Attitude recognition using multi-resolution cochleagram features
F Haider, S Luz
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Detection of cognitive states and their correlation to speech recognition performance in speech-to-speech machine translation systems
H Akira, F Haider, L Cerrato, N Campbell, S Luz
Sixteenth annual conference of the international speech communication …, 2015
Active speaker detection in human machine multiparty dialogue using visual prosody information
F Haider, N Campbell, S Luz
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
Towards speaker detection using lips movements for human-machine multiparty dialogue
F Haider, S Al Moubayed
FONETIK 2012, 117-120, 2012
A super-bagging method for volleyball action recognition using wearable sensors
F Haider, FA Salim, DBW Postma, R Van Delden, D Reidsma, ...
Multimodal Technologies and Interaction 4 (2), 33, 2020
Visual, Laughter, Applause and Spoken Expression Features for Predicting Engagement within TED Talks
F Haider, FA Salim, S Luz, C Vogel, O Conlan, N Campbell
Proc. Interspeech 2017, 2381-2385, 2017
Talking to a system and oneself: A study from a Speech-to-Speech, Machine Translation mediated Map Task
A Hayakawa, F Haider, S Luz, L Cerrato, N Campbell
Speech Prosody 2016, 776 - 780, 2016
Prediction of Emotions from Text using Sentiment Analysis for Expressive Speech Synthesis.
E Vanmassenhove, JP Cabral, F Haider
SSW, 21-26, 2016
Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech
M Martinc, F Haider, S Pollak, S Luz
Frontiers in Aging Neuroscience 13, 642647, 2021
A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted Living
F Haider, S Luz
Proc. Interspeech 2019, 2374-2375, 2019
SAAMEAT: Active Feature Transformation and Selection Methods for the Recognition of User Eating Conditions
F Haider, S Pollak, E Zarogianni, S Luz
Proceedings of the 2018 International Conference on Multimodal Interaction …, 2018
An active data representation of videos for automatic scoring of oral presentation delivery skills and feedback generation
F Haider, M Koutsombogera, O Conlan, C Vogel, N Campbell, S Luz
Frontiers in Computer Science 2, 1, 2020
Automatic Recognition of Low-Back Chronic Pain Level and Protective Movement Behaviour using Physical and Muscle Activity Information
F Haider, P Albert, S Luz
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
An approach for exploring a video via multimodal feature extraction and user interactions
FA Salim, F Haider, O Conlan, S Luz
Journal on Multimodal User Interfaces, 2018
The metalogue debate trainee corpus: Data collection and annotations
V Petukhova, A Malchanau, Y Oualil, D Klakow, S Luz, F Haider, ...
Proceedings of the Eleventh International Conference on Language Resources …, 2018
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