ProsodyAIEmotion from audio.
Not just words.
Continuous Prosody Intelligence (CPI) — an ML model that runs parallel to ASR, streaming emotion signals to your agent in real-time. Fine-tune with LoRA on your data.
What you get
Word-level emotion labels synced to your transcript. Valence, arousal, and custom taxonomy states for every utterance.
Hi,
Built for Production
Low-latency streaming, simple APIs, and battle-tested performance.
Sub-200ms Latency
Real-time streaming analysis optimized for live voice applications.
Prosody Features
Pitch, energy, jitter, shimmer, and voiced ratio—ready for your ML pipeline.
Intent Detection
Go beyond transcription. Understand emotional intent from how words are spoken.
Simple Integration
REST API, WebSocket streaming, and SDKs for Python and JavaScript.
Privacy First
On-premise deployment available. Your audio data stays yours.
Scalable
800+ QPS per node. Horizontal scaling for any workload.
Integrates with your stack
Architecture
State space model (Mamba-based) with multi-modal feature fusion. O(n) complexity for streaming. Trained on multilingual speech emotion corpora.
Model Pipeline
Feature Extraction
Benchmark Results
Evaluated on standard speech emotion recognition benchmarks. ProsodySSM outperforms transformer baselines while maintaining O(n) complexity.
Features
Ship emotion-aware agents faster.
LoRA Fine-tuning
Train on your labeled data. LoRA adapters for domain-specific emotion detection without full model retraining.
- Domain-specific adaptation
- Your data, your model
- Custom taxonomy training
Tone Contracts
Define rules: frustration → escalate, confusion → clarify. API triggers actions on emotion thresholds.
- Configurable thresholds
- Webhook on trigger
- Chain multiple actions
LangChain Tool
pip install langchain-prosody. Emotion as a tool call or callback in your agent.
- langchain-prosody package
- Tool & callback support
- Agent emotion memory
ASR Integration
Runs alongside your existing transcription. Emotion scores align to word timestamps automatically.
- Works with any STT provider
- Word-level emotion alignment
- Drop-in, no pipeline changes
Custom Taxonomies
Map model outputs to your labels. Base emotions → domain-specific states via configurable thresholds.
- Per-vertical mapping
- Configurable thresholds
- Admin dashboard
Integrations
Webhooks, REST API, native Salesforce/HubSpot connectors. Or just read from the SDK.
- Native CRM connectors
- Webhook events
- REST & GraphQL APIs
Give your AI the ability to detect frustration, urgency, or satisfaction in real-time and respond appropriately.
Automatically flag calls with negative sentiment. Surface coaching opportunities. Track emotion trends over time.
Monitor 100% of calls instead of 2%. Emotion scoring adds a dimension transcription alone can't capture.
Simple Integration
Add emotion detection to your voice pipeline in a few lines.
from prosody import ProsodyClient
client = ProsodyClient(api_key="your-key")
result = client.analyze(
audio_file="recording.wav",
features=["emotion", "prosody"]
)
print(result.emotion) # "happy"
print(result.valence) # 0.72
print(result.arousal) # 0.65import { Prosody } from '@prosody/sdk';
const client = new Prosody({ apiKey: 'your-key' });
const result = await client.analyze({
audio: audioBlob,
features: ['emotion', 'prosody']
});
console.log(result.emotion); // "happy"
console.log(result.valence); // 0.72
console.log(result.arousal); // 0.65Contact
Questions about integration, pricing, or custom fine-tuning? Reach out.