Christensen, Heidi
University of Sheffield
11 papers on CoChatORCID 0000-0003-3028-5062
Most cited papers
- Verified
A comparative study of adaptive, automatic recognition of disordered speech
Christensen, H., Cunningham, S., Fox, C., Green, P., & Hain, T. (2012) · Interspeech 2012
Speech Recognition and SynthesisVoice and Speech Disorders
Cited by 123
- Verified
A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing
Easton, K., Potter, S., Bec, R., Bennion, M., Christensen, H., Grindell, C., Mirheidari, B., Weich, S., de Witte, L., Wolstenholme, D., et al. (2019) · Journal of Medical Internet Research
Digital Mental Health InterventionsMobile Health and mHealth Applications
Cited by 88
- Verified
Dementia detection using automatic analysis of conversations
Mirheidari, B., Blackburn, D., Walker, T., Reuber, M., & Christensen, H. (2019) · Computer Speech & Language
Speech and dialogue systemsDementia and Cognitive Impairment Research
Cited by 82
- Verified
Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech
Christensen, H., Aniol, M. B., Bell, P., Green, P. D., Hain, T., King, S., & Swietojanski, P. (2013) · Interspeech 2013
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 63
- Verified
Toward the Automation of Diagnostic Conversation Analysis in Patients with Memory Complaints
Mirheidari, B., Blackburn, D., Harkness, K., Walker, T., Venneri, A., Reuber, M., & Christensen, H. (2017) · Journal of Alzheimer’s Disease
Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare
Cited by 54
- Verified
A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints
Al-Hameed, S., Benaissa, M., Christensen, H., Mirheidari, B., Blackburn, D., & Reuber, M. (2019) · PLOS ONE
Dementia and Cognitive Impairment ResearchVoice and Speech Disorders
Cited by 37
- Verified
Computational Cognitive Assessment: Investigating the Use of an Intelligent Virtual Agent for the Detection of Early Signs of Dementia
Mirheidari, B., Blackburn, D., OrMalley, R., Walker, T., Venneri, A., Reuber, M., & Christensen, H. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare
Cited by 34
- Verified
Diagnosing People with Dementia Using Automatic Conversation Analysis
Mirheidari, B., Blackburn, D., Reuber, M., Walker, T., & Christensen, H. (2016) · Interspeech 2016
Dementia and Cognitive Impairment ResearchSpeech and dialogue systems
Cited by 25
- Verified
Feasibility of using an automated analysis of formulation effort in patients’ spoken seizure descriptions in the differential diagnosis of epileptic and nonepileptic seizures
Pevy, N., Christensen, H., Walker, T., & Reuber, M. (2021) · Seizure
Language, Discourse, Communication StrategiesEpilepsy research and treatment
Cited by 23
- Verified
Developing an intelligent virtual agent to stratify people with cognitive complaints: A comparison of human–patient and intelligent virtual agent–patient interaction
Walker, T., Christensen, H., Mirheidari, B., Swainston, T., Rutten, C., Mayer, I., Blackburn, D., & Reuber, M. (2020) · Dementia
Speech and dialogue systemsDementia and Cognitive Impairment Research
Cited by 18
- Verified
Eye Blink Rate Based Detection of Cognitive Impairment Using in-the-wild Data
Alzahrani, F., Mirheidari, B., Blackburn, D., Maddock, S., & Christensen, H. (2021) · 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)
Dementia and Cognitive Impairment ResearchEmotion and Mood Recognition
Cited by 13
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