Raw Audio Cues — Behavioral Meeting Analysis That Hears What You Missed
What it is
Raw Audio Cues is auraScribe's flagship analysis layer. During a dedicated audio pass, the AI generates an exhaustive chronological log of behavioral observations: pace changes, hesitation patterns, interruption dynamics, engagement tracking, turn-taking behavior, and interpersonal signals. This is not emotion detection — it captures observable acoustic and conversational patterns that reveal the dynamics beneath the words.
Why it matters
A transcript tells you what was said. Raw Audio Cues tell you what was happening. When a prospect pauses before answering a pricing question, when a team member's participation drops in the second half of a meeting, when two speakers consistently interrupt each other — these patterns are invisible in a transcript but obvious in the behavioral log. They are the difference between reviewing a meeting and truly understanding it.
How auraScribe does it
auraScribe's 3-pass pipeline dedicates Pass 2 entirely to behavioral analysis. The AI listens to the full audio recording alongside the transcript from Pass 1 and produces Raw Audio Cues as a dense, timestamped behavioral log. This is the only audio analysis pass — it is never compressed, summarized early, or token-budgeted down. The cues then feed into Pass 3, where they power the behavioral summary, per-speaker remarks, and buyer intent signals. A post-processing step ensures EU AI Act compliance by rewriting any emotion-adjacent language into observable behavioral terms.
Who it's for
- Sales professionals reviewing calls for unspoken buying signals
- Managers who want to understand team dynamics beyond what people say
- Coaches tracking communication patterns across sessions
- Researchers annotating qualitative interviews with behavioral context
Frequently Asked Questions
How is this different from emotion detection?
Raw Audio Cues capture observable behaviors — speech pace, turn-taking, hesitations, interruptions — not inferred emotions. auraScribe does not label speakers as "happy" or "frustrated." Instead, it reports what happened acoustically and conversationally, letting you draw your own conclusions. This approach is also compliant with the EU AI Act, which restricts emotion recognition in workplace contexts.
Does it work with any audio quality?
Raw Audio Cues are extracted from whatever audio you provide. Higher quality recordings yield richer behavioral observations, but the system works with phone-quality audio, compressed meeting recordings, and even microphone captures in noisy environments. The AI adapts its confidence level to the audio quality available.
How detailed are the cues?
The behavioral log typically contains 10-15 observations per 30-minute meeting, covering every speaker. Each observation is timestamped and tied to a specific speaker. For longer or more dynamic meetings, the log scales proportionally. The downstream behavioral summary condenses these into the most significant patterns.
Can I see the raw cues, or only the summary?
Both. The behavioral summary in your analysis report distills the key patterns into readable bullet points. The raw cues log is the underlying data that powers it. Per-speaker remarks also draw directly from the cues to give individual behavioral observations for each participant.