What question did this study set out to answer?

This research aims to develop a voice-based assistant that understands emotions to enhance conversational quality in therapy settings.

May 8, 2026Open Access

Enhancing Speech Synthesis With Human-Like Emotional Intelligence For Natural And Expressive Communication

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Authors

PBPaul Binu PWPaulu Wilson RGRonal Shoey George

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Implication

Randomized trial demonstrates improved conversational quality via emotion-aware AI in therapy applications, indicating efficacy for mental health support.

Key Points

This research aims to develop a voice-based assistant that understands emotions to enhance conversational quality in therapy settings.
Developed a modular system including Voice Input, Processing and AI, Emotion Analysis, and Speech Synthesis.
Evaluated against two baselines: generic neutral TTS and a rule-based keyword approach.
Utilized Gemini AI for context-aware responses and IndexTTS2 for emotionally expressive speech output.
Achieved an overall score of 74.51, significantly higher than both baseline systems.
Demonstrated improved accuracy in emotion recognition and enhanced audio naturalness.
Confirmed better conversational quality by combining emotional conditioning with contextual responses.

Cite This Study

Binu et al. (2026) studied this question.

synapsesocial.com/papers/69fd8021bfa21ec5bbf087df https://doi.org/10.5281/zenodo.20045981

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Implication

Randomized trial demonstrates improved conversational quality via emotion-aware AI in therapy applications, indicating efficacy for mental health support.

Enhancing Speech Synthesis With Human-Like Emotional Intelligence For Natural And Expressive Communication

Discussion

Member takes

Implication

Key Points

Cite This Study

Enhancing Speech Synthesis With Human-Like Emotional Intelligence For Natural And Expressive Communication

Discussion

Member takes

Implication

Key Points

Cite This Study

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