Employing heterogeneous information in a multi-stream framework. - Heidi Christensen; Børge Lindberg; Ove Andersen (ICASSP, 2000)

Noise robustness of heterogeneous features employing minimum classification error feature space transformations. - Heidi Christensen; Børge Lindberg; Ove Andersen (INTERSPEECH, 2000)

Introducing phonetically motivated information into ASR. - Heidi Christensen; Børge Lindberg; Ove Andersen (INTERSPEECH, 2001)

From Text Summarisation to Style-Specific Summarisation for Broadcast News. - Heidi Christensen; BalaKrishna Kolluru; Yoshihiko Gotoh; Steve Renals (ECIR, 2004)

Maximum entropy segmentation of broadcast news. - Heidi Christensen; BalaKrishna Kolluru; Yoshihiko Gotoh; Steve Renals (ICASSP (1), 2005)

Multi-stage compaction approach to broadcast news summarisation. - BalaKrishna Kolluru; Heidi Christensen; Yoshihiko Gotoh (INTERSPEECH, 2005)

Integrating pitch and localisation cues at a speech fragment level. - Heidi Christensen; Ning Ma 002; Stuart N. Wrigley; Jon Barker (INTERSPEECH, 2007)

Active binaural distance estimation for dynamic sources. - Yan-Chen Lu; Martin Cooke; Heidi Christensen (INTERSPEECH, 2007)

The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. - Elise Arnaud; Heidi Christensen; Yan-Chen Lu; Jon Barker; Vasil Khalidov; Miles E. Hansard; Bertrand Holveck; Hervé Mathieu; Ramya Narasimha; Elise Taillant; Florence Forbes; Radu Horaud (ICMI, 2008)

A Cascaded Broadcast News Highlighter. - Heidi Christensen; Yoshihiko Gotoh; Steve Renals (IEEE Trans. Speech Audio Process., 2008)

A speech fragment approach to localising multiple speakers in reverberant environments. - Heidi Christensen; Ning Ma 002; Stuart N. Wrigley; Jon Barker (ICASSP, 2009)

Using location cues to track speaker changes from mobile, binaural microphones. - Heidi Christensen; Jon Barker (INTERSPEECH, 2009)

Speaker turn tracking with mobile microphones: Combining location and pitch information. - Heidi Christensen; Jon Barker (EUSIPCO, 2010)

The CHiME corpus: a resource and a challenge for computational hearing in multisource environments. - Heidi Christensen; Jon Barker; Ning Ma 002; Phil D. Green (INTERSPEECH, 2010)

Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (SAPA@INTERSPEECH, 2010)

Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (INTERSPEECH, 2011)

A comparative study of adaptive, automatic recognition of disordered speech. - Heidi Christensen; Stuart P. Cunningham; Charles Fox; Phil D. Green; Thomas Hain (INTERSPEECH, 2012)

Combining Speech Fragment Decoding and Adaptive Noise Floor Modeling. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (IEEE Trans. Speech Audio Process., 2012)

Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech. - Heidi Christensen; Magda B. Aniol; Peter Bell 001; Phil D. Green; Thomas Hain; Simon King 001; Pawel Swietojanski (INTERSPEECH, 2013)

Learning speaker-specific pronunciations of disordered speech. - Heidi Christensen; Phil D. Green; Thomas Hain (INTERSPEECH, 2013)

Dysarthria intelligibility assessment in a factor analysis total variability space. - David Martínez González; Phil D. Green; Heidi Christensen (INTERSPEECH, 2013)

homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition. - Heidi Christensen; Iñigo Casanueva; Stuart P. Cunningham; Phil D. Green; Thomas Hain (SLPAT, 2013)

The PASCAL CHiME speech separation and recognition challenge. - Jon Barker; Emmanuel Vincent 001; Ning Ma 002; Heidi Christensen; Phil D. Green (Comput. Speech Lang., 2013)

A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (Comput. Speech Lang., 2013)

Adaptive speech recognition and dialogue management for users with speech disorders. - I. Casanueva; Heidi Christensen; Thomas Hain; Phil D. Green (INTERSPEECH, 2014)

Automatic selection of speakers for improved acoustic modelling: recognition of disordered speech with sparse data. - Heidi Christensen; I. Casanueva; Stuart P. Cunningham; Phil D. Green; Thomas Hain (SLT, 2014)

Knowledge transfer between speakers for personalised dialogue management. - Iñigo Casanueva; Thomas Hain; Heidi Christensen; Ricard Marxer; Phil D. Green (SIGDIAL Conference, 2015)

Remote Speech Technology for Speech Professionals - the CloudCAST initiative. - Phil D. Green; Ricard Marxer; Stuart P. Cunningham; Heidi Christensen; Frank Rudzicz; Maria Yancheva; André Coy; Massimiliano Malavasi; Lorenzo Desideri (SLPAT@Interspeech, 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue. - Heidi Christensen; Frank Rudzicz; François Portet; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Intelligibility Assessment and Speech Recognizer Word Accuracy Rate Prediction for Dysarthric Speakers in a Factor Analysis Subspace. - David Martínez González; Eduardo Lleida; Phil D. Green; Heidi Christensen; Alfonso Ortega 001; Antonio Miguel (ACM Trans. Access. Comput., 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Overall Introduction to the Special Issue Part 3. - François Portet; Heidi Christensen; Frank Rudzicz; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 2 - Speaking and Reading Aids. - Frank Rudzicz; Heidi Christensen; François Portet; Jan Alexandersson (ACM Trans. Access. Comput., 2015)

Brain-computer interface technology for speech recognition: A review. - Mashael M. AlSaleh; Mahnaz Arvaneh; Heidi Christensen; Roger K. Moore (APSIPA, 2016)

An Innovative Speech-Based Interface to Control AAL and IoT Solutions to Help People with Speech and Motor Disability. - Massimiliano Malavasi; Enrico Turri; Maria Rosaria Motolese; Ricard Marxer; Jochen Farwer; Heidi Christensen; Lorenzo Desideri; Fabio Tamburini; Phil D. Green (ForItAAL, 2016)

CloudCAST - Remote Speech Technology for Speech Professionals. - Phil D. Green; Ricard Marxer; Stuart P. Cunningham; Heidi Christensen; Frank Rudzicz; Maria Yancheva; André Coy; Massimiliano Malavasi; Lorenzo Desideri; Fabio Tamburini (INTERSPEECH, 2016)

Diagnosing People with Dementia Using Automatic Conversation Analysis. - Bahman Mirheidari; Daniel Blackburn; Markus Reuber; Traci Walker; Heidi Christensen (INTERSPEECH, 2016)

A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus. - Mauro Nicolao; Heidi Christensen; Stuart P. Cunningham; Phil D. Green; Thomas Hain (LREC, 2016)

Cloud-Based Speech Technology for Assistive Technology Applications (CloudCAST). - Stuart P. Cunningham; Phil D. Green; Heidi Christensen; José Joaquín Atria; André Coy; Massimiliano Malavasi; Lorenzo Desideri; Frank Rudzicz (AAATE Conf., 2017)

An Innovative Speech-Based User Interface for Smarthomes and IoT Solutions to Help People with Speech and Motor Disabilities. - Massimiliano Malavasi; Enrico Turri; José Joaquín Atria; Heidi Christensen; Ricard Marxer; Lorenzo Desideri; André Coy; Fabio Tamburini; Phil D. Green (AAATE Conf., 2017)

On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Detecting and Predicting Alzheimer's Disease Severity in Longitudinal Acoustic Data. - Sabah Al-Hameed; Mohammed Benaissa; Heidi Christensen (ICBRA, 2017)

An Avatar-Based System for Identifying Individuals Likely to Develop Dementia. - Bahman Mirheidari; Daniel Blackburn; Kirsty Harkness; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (INTERSPEECH, 2017)

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. - Milos Cernak; Juan Rafael Orozco-Arroyave; Frank Rudzicz; Heidi Christensen; Juan Camilo Vásquez-Correa; Elmar Nöth (Comput. Speech Lang., 2017)

Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Heidi Christensen (ITG Symposium on Speech Communication, 2018)

Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG. - Mashael M. AlSaleh; Roger K. Moore; Heidi Christensen; Mahnaz Arvaneh (EMBC, 2018)

Detecting Signs of Dementia Using Word Vector Representations. - Bahman Mirheidari; Daniel Blackburn; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (INTERSPEECH, 2018)

Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals. - Mashael M. AlSaleh; Roger K. Moore; Heidi Christensen; Mahnaz Arvaneh (SMC, 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia. - Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (ICASSP, 2019)

Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Heidi Christensen (ICASSP, 2019)

Automatic Hierarchical Attention Neural Network for Detecting AD. - Yilin Pan; Bahman Mirheidari; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2019)

Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. - Bahman Mirheidari; Yilin Pan; Traci Walker; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (CoRR, 2019)

Dementia detection using automatic analysis of conversations. - Bahman Mirheidari; Daniel Blackburn; Traci Walker; Markus Reuber; Heidi Christensen (Comput. Speech Lang., 2019)

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Zhengjun Yue; Heidi Christensen (ICASSP, 2020)

Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. - Zhengjun Yue; Feifei Xiong; Heidi Christensen; Jon Barker (ICASSP, 2020)

Recognising Emotions in Dysarthric Speech Using Typical Speech Data. - Lubna Alhinti; Stuart P. Cunningham; Heidi Christensen (INTERSPEECH, 2020)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - Nicholas Cummins; Yilin Pan; Zhao Ren; Julian Fritsch; Venkata Srikanth Nallanthighal; Heidi Christensen; Daniel Blackburn; Björn W. Schuller; Mathew Magimai-Doss; Helmer Strik; Aki Härmä (INTERSPEECH, 2020)

Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation. - Bahman Mirheidari; Daniel Blackburn; Ronan O'Malley; Annalena Venneri; Traci Walker; Markus Reuber; Heidi Christensen (INTERSPEECH, 2020)

Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction. - Yilin Pan; Bahman Mirheidari; Markus Reuber; Annalena Venneri; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2020)

Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification. - Yilin Pan; Bahman Mirheidari; Zehai Tu; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2020)

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition. - Zhengjun Yue; Heidi Christensen; Jon Barker (INTERSPEECH, 2020)

Data augmentation using generative networks to identify dementia. - Bahman Mirheidari; Yilin Pan; Daniel Blackburn; Ronan O'Malley; Traci Walker; Annalena Venneri; Markus Reuber; Heidi Christensen (CoRR, 2020)

Eye Blink Rate Based Detection of Cognitive Impairment Using In-the-wild Data. - Fatimah Alzahrani; Bahman Mirheidari; Daniel Blackburn; Steve Maddock; Heidi Christensen (ACII, 2021)

Multi-Task Estimation of Age and Cognitive Decline from Speech. - Yilin Pan; Venkata Srikanth Nallanthighal; Daniel Blackburn; Heidi Christensen; Aki Härmä (ICASSP, 2021)

Towards Automatic Speech Recognition for People with Atypical Speech. - Heidi Christensen (Interspeech, 2021)

Identifying Cognitive Impairment Using Sentence Representation Vectors. - Bahman Mirheidari; Yilin Pan; Daniel Blackburn; Ronan O'Malley; Heidi Christensen (Interspeech, 2021)

Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer's Dementia Detection Through Spontaneous Speech. - Yilin Pan; Bahman Mirheidari; Jennifer M. Harris; Jennifer C. Thompson; Matthew Jones; Julie S. Snowden; Daniel Blackburn; Heidi Christensen (Interspeech, 2021)

Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children. - Zhengjun Yue; Jon Barker; Heidi Christensen; Cristina McKean; Elaine Ashton; Yvonne Wren; Swapnil Gadgil; Rebecca Bright (Interspeech, 2021)

Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms. - Dalia Attas; Bahman Mirheidari; Daniel Blackburn; Annalena Venneri; Traci Walker; Kirsty Harkness; Markus Reuber; Chris Blackmore; Heidi Christensen (SAI (3), 2021)

Acoustic differences in emotional speech of people with dysarthria. - Lubna Alhinti; Heidi Christensen; Stuart P. Cunningham (Speech Commun., 2021)

Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. - Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Heidi Christensen; Jon Barker (ICASSP, 2022)

Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation. - Samuel Hollands; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2022)

Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores. - Bahman Mirheidari; Daniel Blackburn; Heidi Christensen (INTERSPEECH, 2022)

Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. - Bahman Mirheidari; André Bittar; Nicholas Cummins; Johnny Downs; Helen L. Fisher; Heidi Christensen (INTERSPEECH, 2022)

Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs. - Zhengjun Yue; Erfan Loweimi; Heidi Christensen; Jon Barker; Zoran Cvetkovic (INTERSPEECH, 2022)

Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition. - Zhengjun Yue; Erfan Loweimi; Heidi Christensen; Jon Barker; Zoran Cvetkovic (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Identifying People with Mild Cognitive Impairment at Risk of Developing Dementia using Speech Analysis. - Bahman Mirheidari; Ronan O'Malley; Daniel Blackburn; Heidi Christensen (ASRU, 2023)

Investigating Visual Features for Cognitive Impairment Detection Using In-the-wild Data. - Fatimah Alzahrani; Bahman Mirheidari; Daniel Blackburn; Steve Maddock; Heidi Christensen (FG, 2023)

Moving Towards Non-Binary Gender Identification Via Analysis of System Errors in Binary Gender Classification. - Sebastian Ellis; Stefan Goetze; Heidi Christensen (ICASSP, 2023)

Analysis of Voice Biomarkers for the Detection of Cognitive Impairment. - Moisés R. Pacheco-Lorenzo; Heidi Christensen; Luis E. Anido-Rifón; Manuel J. Fernández-Iglesias; Sonia Valladares-Rodríguez (IEEE Access, 2024)

Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge. - Fuxiang Tao; Bahman Mirheidari; Madhurananda Pahar; Sophie Young; Yao Xiao; Hend Elghazaly; Fritz Peters; Caitlin H. Illingworth; Dorota Braun; Ronan O'Malley; Simon Bell; Daniel Blackburn; et al. (ICASSP, 2025)

Automatic Detection and Sub-typing of Primary Progressive Aphasia from Speech: Integrating Task-Specific Features and Spatio-Semantic Graphs. - Fritz Peters; W. Richard Bevan-Jones; Grace Threlfall; Jenny M. Harris; Julie S. Snowden; Matthew Jones; Jennifer C. Thompson; Daniel J. Blackburn; Heidi Christensen (INTERSPEECH, 2025)

Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models. - Yao Xiao; Heidi Christensen; Stefan Goetze (INTERSPEECH, 2025)

Can Speech Accurately Detect Depression in Patients With Comorbid Dementia? An Approach for Mitigating Confounding Effects of Depression and Dementia. - Sophie Young; Fuxiang Tao; Bahman Mirheidari; Madhurananda Pahar; Markus Reuber; Heidi Christensen (INTERSPEECH, 2025)

Text-to-Dysarthric-Speech Generation for Dysarthric Automatic Speech Recognition: Is Purely Synthetic Data Enough? - Wing-Zin Leung; Heidi Christensen; Stefan Goetze (SPECOM (1), 2025)

CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech. - Madhurananda Pahar; Fuxiang Tao; Bahman Mirheidari; Nathan Pevy; Rebecca Bright; Swapnil Gadgil; Lise Sproson; Dorota Braun; Caitlin H. Illingworth; Daniel Blackburn; Heidi Christensen (CoRR, 2025)

Exploring Gender Disparities in Automatic Speech Recognition Technology. - Hend Elghazaly; Bahman Mirheidari; Nafise Sadat Moosavi; Heidi Christensen (CoRR, 2025)

Raw acoustic-articulatory multimodal dysarthric speech recognition. - Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Jon Barker; Heidi Christensen (Comput. Speech Lang., 2026)