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Sessions were recorded and automatically transcribed, and the sentences were separated to differentiate therapist and client utterances using a proprietary automatic speech recognition and speaker diarization algorithm (Sadeh-Sharvit et al [14] describe the method).
JMIR Form Res 2023;7:e45156
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Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study
JMIR Ment Health 2020;7(11):e20646
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A Framework for Applying Natural Language Processing in Digital Health Interventions
J Med Internet Res 2020;22(2):e13855
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