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Reliable Data for Speech Analytics and AI Insights

Powered by Hecttor Orpheus SDK, structuring audio before it reaches transcription and analytics systems.

  • Enable speaker-level analysis
  • Improve transcription accuracy
  • Deliver cleaner data to analytics systems
Reliable Speech Data for Accurate AI Insights
50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic

Speech Data Breaks Before Analytics Begin

Most analytics systems struggle not because of models, but because the underlying speech data is incomplete, noisy, or unstructured.

  • Noise and silence distort transcription output
  • Overlapping speakers reduce data quality
  • Missing or cut speech segments break analysis
  • Inconsistent input leads to unreliable insights
Your insights are only as reliable as your input data
Communication Platforms

THE ORPHEUS SDK PROCESSING LAYER FOR SPEECH DATA

Three real-time modules prepare audio before transcription and analytics.

Orpheus SDK

Voice Isolation & Noise Cancellation

  • Accurate speaker separation
  • Separates speakers into clean, distinct audio streams
  • Removes background noise and secondary voices
Voice Isolation & Noise Cancellation

Orpheus SDK

Turn-Taking Model

  • Precise conversation segmentation
  • Detects speaker transitions in real time
  • Enables accurate speaker-level analysis
Turn-Taking Model

Orpheus SDK

Voice Activity Detection (VAD)

  • Clean speech boundaries
  • Identifies when speech starts and stops
  • Reduces false triggers and irrelevant audio
Voice Activity Detection (VAD)

Cleaner input in, better output out. Orpheus sdk made our ASR and turn-taking noticeably more reliable.

Rashid Hani Bani

Founder/CEO at Arcain

Reliable Speech Data for Better AI Insights

Orpheus SDK ensures consistent, structured input for analytics pipelines.

More Accurate Transcription

Speech is captured more clearly, reducing errors and improving understanding across analytics systems.

Reliable Speaker Attribution

Speakers are correctly identified and separated, enabling accurate speaker-level analysis.

Cleaner, Structured Data

Audio is transformed into structured input, making it easier for analytics systems to process and interpret.

More Trustworthy Insights

Better input leads to more reliable analytics, reporting, and downstream AI outputs.

WHY ORPHEUS SDK FOR SPEECH DATA PIPELINES

Most analytics systems operate on top of speech data. Hecttor improves the quality of that data before it reaches your analytics stack.

Prepare audio before transcription

Prepares audio for transcription

Enhances speech input before it reaches transcription and analytics systems.

  • Improves transcription accuracy
  • Enables better speaker attribution
  • Delivers cleaner input to analytics
Works on Real-World Audio

Works on Real-World Audio

Handles noise, overlapping speakers, and unpredictable environments.

  • Works in noisy, real-world conditions
  • Handles overlapping speech reliably
  • Maintains data quality across scenarios
No Changes to Your Stack

No Changes to Your Stack

Integrates directly into your existing analytics pipeline.

  • Works with your ASR and analytics tools
  • No changes to downstream systems
  • Improves data without changing workflows

Powered by Hecttor Orpheus SDK

All capabilities are delivered through Orpheus SDK, a real-time voice processing layer that improves speech data before it reaches your analytics systems.

  • Works with any ASR and analytics pipeline
  • Compatible with any LLM or voice stack
  • No changes required to downstream systems
  • Privacy-first architecture with no audio storage or transmission
Explore Orpheus SDK
Speech Data Breaks Before Analytics Begin

FREQUENTLY ASKED QUESTIONS

How does audio quality affect speech analytics accuracy?

Audio quality directly impacts transcription accuracy and downstream analytics. Noisy, overlapping, or unstructured speech leads to incorrect insights, while clean, structured audio improves accuracy across transcription, speaker attribution, and AI analysis.

Can Orpheus SDK improve transcription accuracy for speech analytics?

Yes. Orpheus SDK processes audio before it reaches your transcription engine, reducing noise, separating speakers, and structuring speech, which leads to more accurate transcription and better analytics outcomes.

Does this work with existing speech analytics and AI tools?

Yes. Orpheus SDK integrates seamlessly with existing ASR systems, analytics platforms, and AI pipelines without requiring changes to your current stack.

Is audio data stored or processed securely?

Audio is processed in real time in memory, with no storage or external transmission. Orpheus SDK follows a privacy-first architecture, ensuring that all speech data remains secure and within your infrastructure.

Turn Speech Data Into Reliable Insights

Transform raw audio into clean, structured data for reliable analytics.