Speech evaluation of patients with alzheimer’s disease using an automatic interviewer

Use of Ranks in One-Criterion Variance Analysis

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Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics

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Innovative diagnostic tools for early detection of Alzheimer's disease

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A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech

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Prediction of pathology in primary progressive language and speech disorders

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Greta. A Believable Embodied Conversational Agent

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Goal setting and attainment in Alzheimer's disease patients treated with donepezil

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Alzheimer's disease and automatic speech analysis: A review

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Computer‐based evaluation of Alzheimer's disease and mild cognitive impairment patients during a picture description task

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The SEMAINE API: Towards a Standards-Based Framework for Building Emotion-Oriented Systems

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Evaluation of linguistic and prosodic features for detection of Alzheimer’s disease in Turkish conversational speech

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Speech Recognition in Alzheimer’s Disease and in its Assessment

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Simple and robust audio-based detection of biomarkers for Alzheimer's disease

Al-Hameed, S., Benaissa, M., & Christensen, H. (2016) · doi:10.21437/slpat.2016-6 · Cited by 42 · see citing works

Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis

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Calidad de vida del cuidador familiar y dependencia del paciente con Alzheimer

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Changes in Speech Chunking in Reading Aloud is a Marker of Mild Cognitive Impairment and Mild-to-Moderate Alzheimer’s Disease

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Detecting Mild Cognitive Impairment by Exploiting Linguistic Information from Transcripts

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Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech

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Towards Automatic Transcription of ILSE ― an Interdisciplinary Longitudinal Study of Adult Development and Aging

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Automatic analysis of emotional response based on non-linear speech modeling oriented to Alzheimer disease diagnosis

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Detection of Alzheimer's disease based on automatic analysis of common objects descriptions

Hernández-Domínguez, L., García-Cano, E., Ratté, S., & Sierra, G. (2016) · Workshop on Cognitive Aspects of Computational Language Learning (CogACLL) · doi:10.18653/v1/w16-1902 · Cited by 15 · see citing works

Automatic detection of very early stage of dementia through multimodal interaction with computer avatars

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Automatic analysis of Categorical Verbal Fluency for Mild Cognitive impartment detection: A non-linear language independent approach

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7th Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2016)

Christensen, H., Portet, F., Quatieri, T. F., Rudzicz, F., & Vertanen, K. (2016) · doi:10.21437/slpat.2016 · Cited by 9 · see citing works

Papel de los biomarcadores en el diagnóstico precoz de la enfermedad de Alzheimer

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Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning

Alhama, R. G., Zuidema, W. H., Korhonen, A., Lenci, A., Murphy, B., Poibeau, T., & Villavicencio, A. (2016) · doi:10.18653/v1/w16-19 · Cited by 5 · see citing works

Using a Human Interviewer or an Automatic Interviewer in the Evaluation of Patients with AD from Speech

Alonso-Hernández, J. B., Barragán-Pulido, M. L., Gil-Bordón, J. M., Ferrer, M. A., & Travieso, C. M. (2021) · Applied Sciences · doi:10.3390/app11073228 · Cited by 4 · see citing works

Correlatos neuroanatómicos y el déficit lingüístico en la enfermedad de alzheimer: diagnóstico temprano

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A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis

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Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review

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Emotional Temperature for the Evaluation of Speech in Patients with Alzheimer’s Disease through an Automatic Interviewer

Alonso, J. B., Barragán-Pulido, M. L., Santana-Luis, A., & Ferrer, M. A. (2024) · Applied Sciences · doi:10.3390/app14135588 · Cited by 1 · see citing works

Automated speech-based assessment for mild cognitive impairment and Alzheimer’s disease detection using progressive encoder–decoder feedback residual network with satin bowerbird optimization algorithm

Jevin, J. A., & Umamageswari, A. (2025) · Measurement · doi:10.1016/j.measurement.2025.118744

Quantifying expert speech: A comprehensive analysis of instructional discourses

Albaladejo‐González, M., Gomez, M. J., Cànovas, Ò. B., Mármol, F. G., & Ruipérez‐Valiente, J. A. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.131515

Using a Human Interviewer or an Automatic Interviewer in the Evaluation of Patients with AD from Speech

Alonso-Hernández, J. B., Barragán-Pulido, M. L., Gil-Bordón, J. M., Ferrer, M. A., & Travieso, C. M. (2021) · Applied Sciences · doi:10.3390/app11073228 · Cited by 4 · see citing works

Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge

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Analysis of Speech-Based Measures for Detecting and Monitoring Alzheimer’s Disease

Khodabakhsh, A., & Demiroğlu, C. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1985-7_11 · Cited by 17 · see citing works

Detection of Alzheimer's disease using prosodic cues in conversational speech

Khodabakhsh, A., Kuscuoglu, S., & Demiroğlu, C. (2014) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2014.6830401 · Cited by 9 · see citing works

Speech-Based Detection of Alzheimer’s Disease in Conversational German

Weiner, J., Herff, C., & Schultz, T. (2016) · Interspeech (USB) · doi:10.21437/interspeech.2016-100 · Cited by 77 · see citing works