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Heidi Christensen
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2020 – today
- 2024
- [j15]Moisés R. Pacheco-Lorenzo
, Heidi Christensen
Analysis of Voice Biomarkers for the Detection of Cognitive Impairment. IEEE Access 12: 122840-122851 (2024) - 2023
- [c65]Bahman Mirheidari, Ronan O'Malley, Daniel Blackburn
Identifying People with Mild Cognitive Impairment at Risk of Developing Dementia using Speech Analysis. ASRU 2023: 1-6 - [c64]Fatimah Alzahrani
Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data. FG 2023: 1-8 - [c63]Sebastian Ellis, Stefan Goetze
Moving Towards Non-Binary Gender Identification Via Analysis of System Errors in Binary Gender Classification. ICASSP 2023: 1-5 - 2022
- [j14]Zhengjun Yue
Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2968-2980 (2022) - [c62]Zhengjun Yue, Erfan Loweimi, Zoran Cvetkovic, Heidi Christensen
Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. ICASSP 2022: 7372-7376 - [c61]Zhengjun Yue, Erfan Loweimi, Heidi Christensen
Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs. INTERSPEECH 2022: 31-35 - [c60]Bahman Mirheidari, André Bittar, Nicholas Cummins
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. INTERSPEECH 2022: 2458-2462 - [c59]Bahman Mirheidari, Daniel Blackburn
Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores. INTERSPEECH 2022: 2463-2467 - [c58]Samuel Hollands
Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation. INTERSPEECH 2022: 3958-3962 - [i3]Bahman Mirheidari, André Bittar, Nicholas Cummins
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. CoRR abs/2203.17242 (2022) - 2021
- [j13]Lubna Alhinti
Acoustic differences in emotional speech of people with dysarthria. Speech Commun. 126: 44-60 (2021) - [c57]Fatimah Alzahrani
Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data. ACII 2021: 1-8 - [c56]Yilin Pan, Venkata Srikanth Nallanthighal, Daniel Blackburn
Multi-Task Estimation of Age and Cognitive Decline from Speech. ICASSP 2021: 7258-7262 - [c55]Heidi Christensen:
Towards Automatic Speech Recognition for People with Atypical Speech. Interspeech 2021 - [c54]Bahman Mirheidari, Yilin Pan, Daniel Blackburn
Identifying Cognitive Impairment Using Sentence Representation Vectors. Interspeech 2021: 2941-2945 - [c53]Zhengjun Yue, Jon Barker, Heidi Christensen
Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children. Interspeech 2021: 2946-2950 - [c52]Yilin Pan, Bahman Mirheidari, Jennifer M. Harris, Jennifer C. Thompson
Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech. Interspeech 2021: 3810-3814 - [c51]Dalia Attas
Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms. SAI (3) 2021: 58-69 - 2020
- [c50]Zhengjun Yue, Feifei Xiong, Heidi Christensen
Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. ICASSP 2020: 6094-6098 - [c49]Feifei Xiong, Jon Barker, Zhengjun Yue, Heidi Christensen
Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. ICASSP 2020: 7424-7428 - [c48]Nicholas Cummins
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH 2020: 2182-2186 - [c47]Bahman Mirheidari, Daniel Blackburn
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation. INTERSPEECH 2020: 2527-2531 - [c46]Zhengjun Yue, Heidi Christensen
Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition. INTERSPEECH 2020: 4581-4585 - [c45]Yilin Pan, Bahman Mirheidari, Zehai Tu, Ronan O'Malley, Traci Walker
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification. INTERSPEECH 2020: 4806-4810 - [c44]Lubna Alhinti
Recognising Emotions in Dysarthric Speech Using Typical Speech Data. INTERSPEECH 2020: 4821-4825 - [c43]Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn
Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction. INTERSPEECH 2020: 4961-4965 - [i2]Bahman Mirheidari, Yilin Pan, Daniel Blackburn
Data augmentation using generative networks to identify dementia. CoRR abs/2004.05989 (2020)
2010 – 2019
- 2019
- [j12]Bahman Mirheidari
Dementia detection using automatic analysis of conversations. Comput. Speech Lang. 53: 65-79 (2019) - [c42]Bahman Mirheidari, Daniel Blackburn
Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia. ICASSP 2019: 2732-2736 - [c41]Feifei Xiong, Jon Barker, Heidi Christensen
Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. ICASSP 2019: 5836-5840 - [c40]Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn
Automatic Hierarchical Attention Neural Network for Detecting AD. INTERSPEECH 2019: 4105-4109 - [e2]Heidi Christensen, Kristy Hollingshead, Emily Prud'hommeaux, Frank Rudzicz, Keith Vertanen:
Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies, SLPAT@NAACL-HLT 2019, Minneapolis, MN, USA, June 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-08-6 [contents] - [i1]Bahman Mirheidari, Yilin Pan, Traci Walker, Markus Reuber, Annalena Venneri, Daniel Blackburn
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. CoRR abs/1910.00515 (2019) - 2018
- [j11]Juan Rafael Orozco-Arroyave
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [j10]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [c39]Feifei Xiong, Jon Barker, Heidi Christensen:
Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c38]Mashael M. AlSaleh, Roger K. Moore
Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG. EMBC 2018: 1952-1955 - [c37]Bahman Mirheidari, Daniel Blackburn
Detecting Signs of Dementia Using Word Vector Representations. INTERSPEECH 2018: 1893-1897 - [c36]Mashael M. AlSaleh, Roger K. Moore
Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals. SMC 2018: 976-981 - 2017
- [j9]Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. Comput. Speech Lang. 46: 196-208 (2017) - [c35]Massimiliano Malavasi, Enrico Turri, José Joaquín Atria, Heidi Christensen
An Innovative Speech-Based User Interface for Smarthomes and IoT Solutions to Help People with Speech and Motor Disabilities. AAATE Conf. 2017: 306-313 - [c34]Stuart P. Cunningham
Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST). AAATE Conf. 2017: 322-329 - [c33]Juan Camilo Vásquez-Correa
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c32]Milos Cernak, Elmar Nöth, Frank Rudzicz
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - [c31]Sabah Al-Hameed, Mohammed Benaissa, Heidi Christensen
Detecting and Predicting Alzheimer's Disease Severity in Longitudinal Acoustic Data. ICBRA 2017: 57-61 - [c30]Bahman Mirheidari, Daniel Blackburn
An Avatar-Based System for Identifying Individuals Likely to Develop Dementia. INTERSPEECH 2017: 3147-3151 - 2016
- [c29]Mashael M. AlSaleh, Mahnaz Arvaneh
Brain-computer interface technology for speech recognition: A review. APSIPA 2016: 1-5 - [c28]Massimiliano Malavasi, Enrico Turri, Maria Rosaria Motolese, Ricard Marxer
An Innovative Speech-Based Interface to Control AAL and IoT Solutions to Help People with Speech and Motor Disability. ForItAAL 2016: 269-278 - [c27]Bahman Mirheidari, Daniel Blackburn
Diagnosing People with Dementia Using Automatic Conversation Analysis. INTERSPEECH 2016: 1220-1224 - [c26]Phil D. Green, Ricard Marxer
CloudCAST - Remote Speech Technology for Speech Professionals. INTERSPEECH 2016: 1608-1612 - [c25]Mauro Nicolao, Heidi Christensen, Stuart P. Cunningham, Phil D. Green, Thomas Hain:
A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus. LREC 2016 - 2015
- [j8]Heidi Christensen
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue. ACM Trans. Access. Comput. 6(3): 7:1-7:3 (2015) - [j7]David Martínez González
Intelligibility Assessment and Speech Recognizer Word Accuracy Rate Prediction for Dysarthric Speakers in a Factor Analysis Subspace. ACM Trans. Access. Comput. 6(3): 10:1-10:21 (2015) - [j6]Frank Rudzicz
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 2 - Speaking and Reading Aids. ACM Trans. Access. Comput. 6(4): 11:1-11:2 (2015) - [j5]François Portet
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Overall Introduction to the Special Issue Part 3. ACM Trans. Access. Comput. 7(2): 4:1-4:8 (2015) - [c24]Iñigo Casanueva, Thomas Hain
Knowledge transfer between speakers for personalised dialogue management. SIGDIAL Conference 2015: 12-21 - [c23]Phil D. Green, Ricard Marxer, Stuart P. Cunningham, Heidi Christensen
Remote Speech Technology for Speech Professionals - the CloudCAST initiative. SLPAT@Interspeech 2015: 97-102 - [e1]Jan Alexandersson, M. Ercan Altinsoy, Heidi Christensen, Peter Ljunglöf, François Portet, Frank Rudzicz:
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT@Interspeech 2015, Dresden, Germany, September 11, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-79-2 [contents] - 2014
- [c22]I. Casanueva, Heidi Christensen
Adaptive speech recognition and dialogue management for users with speech disorders. INTERSPEECH 2014: 1033-1037 - [c21]Heidi Christensen
Automatic selection of speakers for improved acoustic modelling: recognition of disordered speech with sparse data. SLT 2014: 254-259 - 2013
- [j4]Jon Barker
The PASCAL CHiME speech separation and recognition challenge. Comput. Speech Lang. 27(3): 621-633 (2013) - [j3]Ning Ma
A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources. Comput. Speech Lang. 27(3): 820-836 (2013) - [c20]Heidi Christensen, Phil D. Green, Thomas Hain:
Learning speaker-specific pronunciations of disordered speech. INTERSPEECH 2013: 1159-1163 - [c19]David Martínez González, Phil D. Green, Heidi Christensen:
Dysarthria intelligibility assessment in a factor analysis total variability space. INTERSPEECH 2013: 2133-2137 - [c18]Heidi Christensen
Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech. INTERSPEECH 2013: 3642-3645 - [c17]Heidi Christensen, Iñigo Casanueva, Stuart P. Cunningham, Phil D. Green, Thomas Hain:
homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition. SLPAT 2013: 29-34 - 2012
- [j2]Ning Ma
Combining Speech Fragment Decoding and Adaptive Noise Floor Modeling. IEEE Trans. Speech Audio Process. 20(3): 818-827 (2012) - [c16]Heidi Christensen, Stuart P. Cunningham, Charles Fox, Phil D. Green, Thomas Hain:
A comparative study of adaptive, automatic recognition of disordered speech. INTERSPEECH 2012: 1776-1779 - 2011
- [c15]Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green:
Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. INTERSPEECH 2011: 1657-1660 - 2010
- [c14]Heidi Christensen, Jon Barker:
Speaker turn tracking with mobile microphones: Combining location and pitch information. EUSIPCO 2010: 954-958 - [c13]Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green:
Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. SAPA@INTERSPEECH 2010: 19-24 - [c12]Heidi Christensen, Jon Barker, Ning Ma, Phil D. Green:
The CHiME corpus: a resource and a challenge for computational hearing in multisource environments. INTERSPEECH 2010: 1918-1921
2000 – 2009
- 2009
- [c11]Heidi Christensen
A speech fragment approach to localising multiple speakers in reverberant environments. ICASSP 2009: 4593-4596 - [c10]Heidi Christensen, Jon Barker:
Using location cues to track speaker changes from mobile, binaural microphones. INTERSPEECH 2009: 140-143 - 2008
- [j1]Heidi Christensen
A Cascaded Broadcast News Highlighter. IEEE Trans. Speech Audio Process. 16(1): 151-161 (2008) - [c9]Elise Arnaud, Heidi Christensen
The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. ICMI 2008: 109-116 - 2007
- [c8]Yan-Chen Lu, Martin Cooke, Heidi Christensen:
Active binaural distance estimation for dynamic sources. INTERSPEECH 2007: 574-577 - [c7]Heidi Christensen
Integrating pitch and localisation cues at a speech fragment level. INTERSPEECH 2007: 2769-2772 - 2005
- [c6]Heidi Christensen
Maximum entropy segmentation of broadcast news. ICASSP (1) 2005: 1029-1032 - [c5]BalaKrishna Kolluru, Heidi Christensen
Multi-stage compaction approach to broadcast news summarisation. INTERSPEECH 2005: 69-72 - 2004
- [c4]Heidi Christensen
From Text Summarisation to Style-Specific Summarisation for Broadcast News. ECIR 2004: 223-237 - 2001
- [c3]Heidi Christensen, Børge Lindberg, Ove Andersen:
Introducing phonetically motivated information into ASR. INTERSPEECH 2001: 2289-2292 - 2000
- [c2]Heidi Christensen
Employing heterogeneous information in a multi-stream framework. ICASSP 2000: 1571-1574 - [c1]Heidi Christensen, Børge Lindberg, Ove Andersen:
Noise robustness of heterogeneous features employing minimum classification error feature space transformations. INTERSPEECH 2000: 534-537
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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