Day 6: Merging Emotion + GPT Analysis into One Score #trustscore #fusionai

SEO Title: Day 6: Merging Emotion + GPT Analysis into One Score #trustscore #fusionai
Focus Keyphrase: AI lie detector
Meta Description: Learn how to create a truth probability score in your AI lie detector app by combining GPT-based text analysis and emotion-based voice signals.

Introducing the Truth Score™

We now have two powerful signals in our AI lie detector:

  • 🎤 Vocal emotion score from hesitation detection
  • 🧠 Semantic contradiction analysis from GPT

Let’s combine them into a single, user-friendly **Truth Score** between 0–100 to represent the confidence in the truthfulness of a statement.

Step 1: Assign Numeric Scores to GPT Output


def gpt_score_label(gpt_result):
    if "Likely Truthful" in gpt_result:
        return 90
    elif "Possibly Uncertain" in gpt_result:
        return 60
    elif "Suspicious" in gpt_result:
        return 30
    else:
        return 50  # fallback

Step 2: Normalize the Emotion Score

We assume more pauses = more nervousness. You can normalize based on observed range (e.g. 0–20):


def emotion_score_from_pauses(pause_count):
    score = max(0, 100 - pause_count * 5)
    return min(score, 100)

Step 3: Merge into a Weighted Truth Score


def final_truth_score(gpt_score, emotion_score):
    # You can tweak weights here!
    return round((gpt_score * 0.6) + (emotion_score * 0.4))

Step 4: Display the Score in the API Response


@app.route('/api/voice', methods=['POST'])
def receive_audio():
    ...
    gpt_result = analyze_with_gpt(transcript["text"])
    gpt_score = gpt_score_label(gpt_result)
    emotion_score = emotion_score_from_pauses(pause_score)
    truth_score = final_truth_score(gpt_score, emotion_score)

    return {
        "transcript": transcript["text"],
        "gpt_analysis": gpt_result,
        "emotion_score": emotion_score,
        "truth_score": truth_score
    }

Step 5: Frontend Preview (Tomorrow)

Tomorrow we’ll build a visual frontend to show:

  • 📝 The transcript
  • 🧠 GPT label
  • 🎧 Emotion score
  • ✅ Final Truth Score (as a colored progress bar)

Why Truth Scoring Is Crucial

Now your AI lie detector delivers something tangible — a single score that reflects both how something was said and what was said.

Coming Up in Day 7

In Day 7: Building a Frontend Truth Meter UI #progressbar #emotionUX, we’ll bring this score to life with a live progress bar and semantic indicators.


Tags: #AIUX #TruthScore #LieDetection #MultimodalAI

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