ArticlePeerJ. Computer science2016
A technology prototype system for rating therapist empathy from audio recordings in addiction counseling.
Article in PeerJ. Computer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Natural language processing for mental health interventions: a systematic review and research framework.Translational psychiatry · 2023Pooled it
- Trajectories of in-session change language in brief motivational interventions with mandated college students.Journal of consulting and clinical psychology · 2018Trial
- Scoping review on natural language processing applications in counselling and psychotherapy.British journal of psychology (London, England : 1953) · 2026Article
- Using machine learning to increase access to and engagement with trauma-focused interventions for posttraumatic stress disorder.The British journal of clinical psychology · 2025Review
- Factor structure and measurement invariance of the Mood and Feelings Questionnaire: a cross-cultural study among Thai and British adolescents.European child & adolescent psychiatry · 2024Article
- Article
- You never know what you are going to get: Large-scale assessment of therapists' supportive counseling skill use.Psychotherapy (Chicago, Ill.) · 2023Article
- Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19.Frontiers in artificial intelligence · 2023Article
- Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol.BMC health services research · 2022Article
- Automated evaluation of psychotherapy skills using speech and language technologies.Behavior research methods · 2022Article
- Machine learning and natural language processing in psychotherapy research: Alliance as example use case.Journal of counseling psychology · 2020Article
- Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills.Journal of medical Internet research · 2019Article
- Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.Psychotherapy (Chicago, Ill.) · 2019Article
- ROLE SPECIFIC LATTICE RESCORING FOR SPEAKER ROLE RECOGNITION FROM SPEECH RECOGNITION OUTPUTS.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2019Article
- Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy.Interspeech · 2018Article
- The strange case of Mr. H. Starting dialysis at 90 years of age: clinical choices impact on ethical decisions.BMC medical ethics · 2017Article
- Digital technology and clinical decision making in depression treatment: Current findings and future opportunities.Depression and anxiety · 2017Review
- Multi-label Multi-task Deep Learning for Behavioral Coding.IEEE transactions on affective computingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Scaling up psychotherapy services such as for addiction counseling is a critical societal need. One challenge is ensuring quality of therapy, due to the heavy cost of manual observational assessment. This work proposes a speech technology-based system to automate the assessment of therapist empathy-a key therapy quality index-from audio recordings of the psychotherapy interactions. We designed a speech processing system that includes voice activity detection and diarization modules, and an automatic speech recognizer plus a speaker role matching module to extract the therapist's language cues. We employed Maximum Entropy models, Maximum Likelihood language models, and a Lattice Rescoring method to characterize high
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.