Contact person: AI Performance Analyzer

Phone:Show

Email:Show

Location: THIONVILLE, France

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"1. Context and Objectives

The goal is to industrialize expert know-how in public speaking and webinar delivery by creating an intelligent analysis tool for sales webinars.

The system must:

Listen to and analyze webinars (audio/video).

Break down voice, rhythm, energy, and emotional intent.

Evaluate the 4-part structure (Introduction, Story, Content, Closing).

Detect weak areas (flat intro, rushed storytelling, weak closing, etc.).

Provide corrective suggestions (micro-rewrites and simulated vocal coaching).

Reduce manual analysis workload as the number of clients increases.

Allow human validation of the final recommendations.

2. Target Audience

Coaches / speakers who want to improve their webinars.

Companies wishing to audit their training or online sales sessions.

The coaching team for automating pre-diagnostics for clients.

3. Expected Features
3.1 Ingestion & Preprocessing

Ingestion via URL (private YouTube, Vimeo, S3).

Audio cleaning (denoising, normalization).

3.2 Transcription & Segmentation

Multilingual transcription (FR/EN) with timecodes (Whisper v3 or equivalent).

Speaker diarization (distinguish co-hosts/participants).

Automatic logical segmentation into 4 parts:

Introduction (Hook)

Storytelling

Educational Content

Closing (offer/sale)

3.3 Audio Analysis (Paralinguistics)

Vocal energy (normalized volume, peaks).

Speech rate (words per minute).

Intonation variability (pitch variation).

Strategic pauses (≥250 ms, ≥400 ms).

Emotional tone detection (enthusiasm, calm, doubt, confidence).

3.4 Text Analysis (Marketing NLP)

Detection of key elements:

Hook / clear promise

Problem + tension + trigger

Social proof / objections

Pedagogical steps / examples

Offer (what/who/how) + benefits → outcomes

CTA (action + modality + deadline)

Risk reversal (guarantee)

3.5 Voice ↔ Text Correlation

Check coherence between vocal intention and content.
Example: if text = “This is an incredible opportunity!” but vocal energy < threshold → flag alert.

3.6 Scoring

Score per section (Introduction, Story, Content, Closing).

Score per axis: Voice, Rhythm, Intention, Clarity.

Weighted global score (e.g. “James Bond” method).

3.7 Recommendations & Simulator

Automatic recommendations:

Vocal improvements (pauses, rate, emphasis).

Micro text rewrites (hooks, transitions, CTAs).

Improvement simulator:

Variants A/B (corrected text).

Synthetic vocal coaching (rate, energy).

Expressive TTS pre-listening.

Export options: improved script, audio guide, markers.

3.8 User Interface

Dashboard: list of audited sessions.

Video player with:

Annotated timeline (weak zones, CTAs, key revelations).

Emotional heatmap (energy/emotions).

Before/After comparison (text + audio).

Exportable reports: PDF, JSON, SRT/VTT (subtitles).

3.9 User Roles

Client: uploads, receives report.

Coach: validates/rejects AI suggestions.

Admin: manages users, quotas.

Add "winar" to your bid." (client-provided description)