Cove : Conversational Voice Engine for next-generation Voice AI
Purpose-built for Voice AI applications, Cove delivers real-time speech recognition, background speaker & noise filter, intelligent turn detection and seamless conversation flow to power the next generation of voice agents and conversational AI.
SpeechCortex
Engineering Team
Conversational Voice Engine is a modular speech stack featuring best-in-class speech recognition with background speaker and noise filtering, integrated with intelligent turn detection for natural, real-time voice interactions.
We've all experienced it: you pause for a moment to gather your thoughts, and the voice agent jumps in too early. Or you finish speaking and are left waiting through an awkward stretch of silence before it responds. Add in background voices from a TV and the noise of the real world, and the experience quickly falls apart.
These friction points destroy the illusion of intelligence and that illusion matters. A truly natural, noise-free conversation isn't just about accurate transcription; it's about rhythm and clarity.
Issues with Traditional Speech Stacks
For years, voice agents have been assembled using a pipeline of loosely connected components. A typical setup looks like this:
Audio
→
VAD(Silence)
→
ASR(Transcription)
→
Endpointing
On the surface, this modular approach seems flexible. In practice, it creates a fragile, over-engineered system—a "Frankenstein" pipeline—where each component operates in isolation. This leads to three fundamental problems.
1. Latency Stacking
Each stage in the pipeline introduces its own processing delay. A short pause in VAD, followed by ASR processing and endpointing logic, quickly compounds into noticeable lag.
2. The Silence Trap
Traditional VAD relies on signal energy, not intent. When a user says "I need to… check the date," the brief pause is interpreted as end of turn, causing interruptions.
3. Lack of Noise Robustness
Traditional systems lack effective noise removal, leading to false alarms in noisy environments. Background audio like a TV can confuse speaker detection and break conversation flow.
4. Operational Complexity
Developers must manage multiple thresholds—silence duration, speech probability, endpointing rules—that often conflict, making systems brittle and difficult to maintain.
Our Solution
Cove takes a different approach by tightly integrating noise reduction, turn detection, and ASR into a unified system where each capability leverages the others.
Our model processes audio in a single pass, filtering out ambient noise and non-user speech while simultaneously using acoustic cues such as pitch and intonation and semantic cues such as grammar and meaning to predict turn boundaries. It understands that "Tell me a joke" is a complete command, while "I want to buy a…" is an incomplete thought, even if followed by silence.
Background Speech and Noise Filtering
Voice AI systems must clearly distinguish between user speech, background speech, and ambient noise to maintain a smooth conversation flow. When this capability is missing, voice activity detection can trigger frequent false alarms in the presence of background speech and ambient noise, causing the bot to remain silent even after the user has finished speaking. This problem is particularly common in household settings where a TV is playing in the background, as competing voices confuse speaker detection, disrupt turn-taking, and ultimately break the natural flow of conversation.
Start of Turn
Start of Turn detection enables voice agents to recognize when a user begins speaking, even in challenging audio environments. This capability is essential for handling interruptions gracefully and maintaining natural conversation dynamics.
Cove's Start of Turn detection distinguishes between intentional speech and background noise, ensuring voice agents respond only when the user is actually speaking. This prevents false triggers while maintaining responsiveness.
End of Turn
End of Turn detection is a critical capability for natural voice conversations. Cove's advanced algorithms analyze acoustic patterns, linguistic cues, and conversational context to accurately predict when a speaker has finished their turn.
Unlike traditional silence-based detection that relies on fixed timeout thresholds, Cove understands the natural rhythm of human speech. This enables voice agents to respond at exactly the right moment—not too early (interrupting the user) and not too late (creating awkward pauses).
Reduced latency Natural flow Better UX
Key Feature: Configurable Aggressiveness
One size does not fit all in conversational AI. A fast-paced command bot for gaming needs to be snappy, while a compassionate medical intake bot needs to be patient.
To give developers control, Cove exposes a single, powerful parameter: turn_detection_threshold
High Threshold (Conservative)
The model waits for high certainty before firing an End-of-Turn event. Ideal for dictation or complex queries where accuracy is paramount.
Low Threshold (Aggressive)
The model fires "Eager" events, prioritizing speed. Perfect for low-latency command-and-control scenarios.
By adjusting this single slider, you can fundamentally change the personality of your agent.
Key Features
Integrated Modular System
Background speech and noise reduction, turn detection, and ASR in a unified modular system.
Sub-second Latency
Ultra-low latency across all key features for real-time voice interactions.
Configurable & Flexible
Flexible feature set that adapts to your specific use case requirements.
Optimized for Contact Centers
Trained on millions of contact center conversations for superior accuracy in real-world business scenarios.
Use Cases
Voice Agents
Build intelligent voice agents that handle customer inquiries, appointments, and support with natural conversation flow.
Virtual Assistants
Create conversational AI assistants that understand context and respond naturally across multiple domains.
Supported Languages
Cove supports a wide range of languages to power your global voice AI applications.
🇺🇸US-English
🇮🇳Indian - English
More languages coming soon. Contact us for specific language requirements.
Ready to Build Your Voice AI?
Get started with Cove today and transform your voice applications.
