AI & LLM Engineering
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Deepgram Nova-2 Low-Latency Voice Streaming
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"Hi Jason, saw your live audio transcription lag—I built WebSocket streaming pipelines with Deepgram Nova-2 that hit sub-300ms speech-to-text turnaround."
Why it works: Names Deepgram Nova-2, sub-300ms turnaround, and raw PCM streaming immediately.
Full Proven Proposal Cover Letter
Hi Jason,
Saw your project regarding speech-to-text latency issues in your real-time conversational agent. I have built real-time bidirectional audio pipelines utilizing Deepgram Nova-2 WebSockets coupled with live VAD (Voice Activity Detection).
Here is the architecture to achieve sub-300ms latency:
1. Stream raw PCM audio directly over binary WebSockets with 100ms chunk buffers instead of bulky Base64 payloads.
2. Implement Silero VAD at the edge to instantly trigger endpointing and cut unnecessary API inference costs.
3. Pipe Deepgram interim transcripts directly to streaming LLM completions for zero-lag conversational responses.
I have a running demo on GitHub with live audio visualizers. Would you like a quick demo link?
Best,
[Your Name]
Saw your project regarding speech-to-text latency issues in your real-time conversational agent. I have built real-time bidirectional audio pipelines utilizing Deepgram Nova-2 WebSockets coupled with live VAD (Voice Activity Detection).
Here is the architecture to achieve sub-300ms latency:
1. Stream raw PCM audio directly over binary WebSockets with 100ms chunk buffers instead of bulky Base64 payloads.
2. Implement Silero VAD at the edge to instantly trigger endpointing and cut unnecessary API inference costs.
3. Pipe Deepgram interim transcripts directly to streaming LLM completions for zero-lag conversational responses.
I have a running demo on GitHub with live audio visualizers. Would you like a quick demo link?
Best,
[Your Name]
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