H. Christensen

发表

Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding

Ning Ma, Jon Barker, Heidi Christensen, 2010, SAPA@INTERSPEECH.

Toward the Automation of Diagnostic Conversation Analysis in Patients with Memory Complaints.

H. Christensen, M. Reuber, A. Venneri, 2017, Journal of Alzheimer's disease : JAD.

Fully automated cognitive screening tool based on assessment of speech and language

H. Christensen, M. Reuber, A. Venneri, 2020, Journal of Neurology, Neurosurgery, and Psychiatry.

Characterising spoken responses to an intelligent virtual agent by persons with mild cognitive impairment

H. Christensen, M. Reuber, B. Mirheidari, 2020, Clinical linguistics & phonetics.

A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints

M. Benaissa, H. Christensen, M. Reuber, 2019, PloS one.

Punctuation annotation using statistical prosody models.

S. Renals, H. Christensen, Y. Gotoh, 2001 .

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

L. D. de Witte, H. Christensen, S. Weich, 2019, Journal of medical Internet research.

Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2018, ITG Symposium on Speech Communication.

DECREMENTAL FEATURE-BASED COMPACTION

H. Christensen, Y. Gotoh, B. Kolluru, 2004 .

Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech

H. Christensen, J. Snowden, J. Thompson, 2021, Interspeech.

Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores

H. Christensen, B. Mirheidari, Daniel Blackburn, 2022, INTERSPEECH.

Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition

Z. Cvetković, J. Barker, H. Christensen, 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation

H. Christensen, Daniel Blackburn, Samuel Hollands, 2022, INTERSPEECH.

Keeping patient and public partnership at the heart of medical technology development during Covid-19: examples of adaptive practice

H. Christensen, J. Preston, V. Lanfranchi, 2022, Journal of medical engineering & technology.

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Dementia detection using automatic analysis of conversations

Heidi Christensen, Bahman Mirheidari, Daniel Blackburn, 2019, Comput. Speech Lang..

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Detecting and Predicting Alzheimer's Disease Severity in Longitudinal Acoustic Data

Heidi Christensen, Mohammed Benaissa, M. Benaissa, 2017, ICBRA.

An Avatar-Based System for Identifying Individuals Likely to Develop Dementia

Heidi Christensen, Bahman Mirheidari, Daniel Blackburn, 2017, INTERSPEECH.

Speaker turn tracking with mobile microphones: Combining location and pitch information

Jon Barker, Heidi Christensen, J. Barker, 2010, 2010 18th European Signal Processing Conference.

A speech fragment approach to localising multiple speakers in reverberant environments

Ning Ma, Jon Barker, Heidi Christensen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Using location cues to track speaker changes from mobile, binaural microphones

Jon Barker, Heidi Christensen, J. Barker, 2009, INTERSPEECH.

Integrating pitch and localisation cues at a speech fragment level

Ning Ma, Jon Barker, Heidi Christensen, 2007, INTERSPEECH.

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

L. D. de Witte, H. Christensen, S. Weich, 2018, Journal of medical Internet research.

Dysarthria intelligibility assessment in a factor analysis total variability space

Heidi Christensen, Phil D. Green, David Martínez González, 2013, INTERSPEECH.

From Text Summarisation to Style-Specific Summarisation for Broadcast News

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2004, ECIR.

A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources

Ning Ma, Jon Barker, Heidi Christensen, 2013, Comput. Speech Lang..

Incorporating localisation cues in a fragment decoding framework for distant binaural speech recognition

Ning Ma, Jon Barker, Heidi Christensen, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments

Ning Ma, Jon Barker, Heidi Christensen, 2011, INTERSPEECH.

Recent advances in fragment-based speech recognition in reverberant multisource environments

Ning Ma, Jon Barker, Heidi Christensen, 2011 .

Remote Speech Technology for Speech Professionals - the CloudCAST initiative

Heidi Christensen, Phil D. Green, Frank Rudzicz, 2015, SLPAT@Interspeech.

Knowledge transfer between speakers for personalised dialogue management

Heidi Christensen, Phil D. Green, Thomas Hain, 2015, SIGDIAL Conference.

Automated Detection of the Competency of Delivering Guided Self-Help for Anxiety via Speech and Language Processing

H. Christensen, S. Kellett, C. Blackmore, 2022, Applied Sciences.

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification

Heidi Christensen, Bahman Mirheidari, Traci Walker, 2020, INTERSPEECH.

The PASCAL CHiME speech separation and recognition challenge

Ning Ma, Jon Barker, Heidi Christensen, 2013, Comput. Speech Lang..

Feasibility of using an automated analysis of formulation effort in patients’ spoken seizure descriptions in the differential diagnosis of epileptic and nonepileptic seizures

H. Christensen, M. Reuber, Traci Walker, 2021, Seizure.

Lesion of the ligamentum bifurcatum in ankle sprain

H. Christensen, J. Agnholt, S. Nielsen, 2004, Archives of orthopaedic and traumatic surgery.

Proceedings of the ITRW on Prosody in Speech Recognition and Understanding

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2001 .

Design and Recording of the SAMOGO Speech Database

Heidi Christensen, Børge Lindberg, H. Christensen, 1992 .

Brain-computer interface technology for speech recognition: A review

Heidi Christensen, Roger K. Moore, Mahnaz Arvaneh, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Detecting Signs of Dementia Using Word Vector Representations

Heidi Christensen, Bahman Mirheidari, Daniel Blackburn, 2018, INTERSPEECH.

Acoustic differences in emotional speech of people with dysarthria

Heidi Christensen, Stuart P. Cunningham, Lubna Alhinti, 2021, Speech Commun..

Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia

Heidi Christensen, Bahman Mirheidari, Traci Walker, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction

Heidi Christensen, Bahman Mirheidari, Yilin Pan, 2020, INTERSPEECH.

Automatic Hierarchical Attention Neural Network for Detecting AD

Heidi Christensen, Bahman Mirheidari, Yilin Pan, 2019, INTERSPEECH.

The CHiME corpus: a resource and a challenge for computational hearing in multisource environments

Ning Ma, Jon Barker, Heidi Christensen, 2010, INTERSPEECH.

Differentiating between epileptic and functional/dissociative seizures using semantic content analysis of transcripts of routine clinic consultations

H. Christensen, M. Reuber, Traci Walker, 2023, Epilepsy & Behavior.

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

Heidi Christensen, Elmar Nöth, Milos Cernak, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Developing an intelligent virtual agent to stratify people with cognitive complaints: A comparison of human–patient and intelligent virtual agent–patient interaction

H. Christensen, M. Reuber, B. Mirheidari, 2018, Dementia.

Identifying Cognitive Impairment Using Sentence Representation Vectors

Heidi Christensen, Ronan O’Malley, Bahman Mirheidari, 2021, Interspeech.

Developing an Intelligent Virtual Agent (IVA) to stratify people with cognitive complaints: a comparison of human-patient and IVA-patient interaction

H. Christensen, M. Reuber, B. Mirheidari, 2018 .

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Zhengjun Yue, 2020, INTERSPEECH.

Perspectives on Speech and Language Interaction for Daily Assistive Technology

Heidi Christensen, Frank Rudzicz, Jan Alexandersson, 2015, ACM Trans. Access. Comput..

Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG

Heidi Christensen, Roger K. Moore, Mahnaz Arvaneh, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition

Z. Cvetković, J. Barker, H. Christensen, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt pdf

Heidi Christensen, Bahman Mirheidari, Traci Walker, 2019, ArXiv.

An Innovative Speech-Based User Interface for Smarthomes and IoT Solutions to Help People with Speech and Motor Disabilities

Heidi Christensen, Phil D. Green, Ricard Marxer, 2017, AAATE Conf..

A comparative study of adaptive, automatic recognition of disordered speech

Heidi Christensen, Phil D. Green, Thomas Hain, 2012, INTERSPEECH.

Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data

H. Christensen, S. Maddock, B. Mirheidari, 2021, 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII).

Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data

H. Christensen, B. Mirheidari, Daniel Blackburn, 2023, 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG).

The Dysarthric Expressed Emotional Database (DEED): An audio-visual database in British English

H. Christensen, S. Cunningham, L. Alhinti, 2023, PloS one.

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition

Björn W. Schuller, Zhao Ren, Heidi Christensen, 2020, INTERSPEECH.

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features

Elmar Nöth, Milos Cernak, Frank Rudzicz, 2017, Comput. Speech Lang..

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing

L. D. de Witte, H. Christensen, S. Weich, 2019, Journal of medical Internet research.

The PASCAL CHiME speech separation and recognition challenge

E. Vincent, P. Green, Ning Ma, 2013, Comput. Speech Lang..

Automatic detection of expressed emotion from Five-Minute Speech Samples: Challenges and opportunities

H. Christensen, N. Cummins, B. Mirheidari, 2022, INTERSPEECH.

Speaker Adaptation of Hidden Markov Models using Maximum Likelihood Linear Regression

Heidi Christensen, H. Christensen, 1996 .

Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition

Jon Barker, Heidi Christensen, Feifei Xiong, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Maximum entropy segmentation of broadcast news

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A Cascaded Broadcast News Highlighter

Heidi Christensen, Steve Renals, Yoshihiko Gotoh, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Recognising Emotions in Dysarthric Speech Using Typical Speech Data

Heidi Christensen, Stuart P. Cunningham, Lubna Alhinti, 2020, INTERSPEECH.

Toward the Automation of Diagnostic Conversation Analysis in Patients with Memory Complaints.

H. Christensen, M. Reuber, A. Venneri, 2017, Journal of Alzheimer's disease : JAD.

CloudCAST - Remote Speech Technology for Speech Professionals

L. Desideri, P. Green, H. Christensen, 2016, INTERSPEECH.

Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms

H. Christensen, M. Reuber, A. Venneri, 2021, SAI.