Modeling therapist empathy through prosody in drug addiction counseling

摘要: Empathy measures the capacity of therapist to experience same cognitive and emotional dispositions as patient, is a key quality factor in counseling. In this work we build computational models infer empathy using prosodic cues. We extract pitch, energy, jitter, shimmer utterance duration from speech signal, normalize quantize these features order estimate distribution certain patterns during each interaction. find significant correlation between patterns, achieve 75% accuracy classifying levels distribution. Experiment results suggest high pitch energy are negatively correlated with empathy. These observations agree domain literature human intuition.