Open-Source P2P Framework

Aoip.ai revolutionizes VoIP and IoT by leveraging an open-source, peer-to-peer (P2P) architecture, ensuring decentralized data transmission and enhanced security. This framework empowers software engineers with the flexibility to innovate and customize applications, fostering a collaborative development environment.

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AI Integration with ESPnet

Integration with ESPnet elevates the user experience in aoip.ai by harnessing state-of-the-art end-to-end speech processing technology. This allows for seamless, high-quality audio processing and recognition, providing software engineers with robust tools for building advanced VoIP and IoT solutions.

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Data-Driven & Economically Scalable

Aoip.ai is underpinned by a data-driven design philosophy, offering economically scalable solutions for global markets. This approach enables software engineers to develop systems that are not only technologically advanced but also viable and efficient in diverse economic environments.

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Insight

Psychoacoustic Analytics

By studying the perception of sound and causes of its distorition, we can better understand audiology.

PLCMOS Evaluation

To ensure the highest quality of service, aoip.ai incorporates DNSMOS evaluation, a key metric in the DNS Challenge. This psychoacoustic evaluation method quantifies the denoising success of audio streams, allowing software engineers to assess and enhance the clarity and intelligibility of voice communication.

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eGeMAPS Evaluation

Aoip.ai's robust testing framework includes PLCMOS evaluation, a fundamental aspect of the PLC Challenge. This evaluation focuses on the perceptual quality of packet loss concealment, crucial in maintaining high-quality audio transmission. It provides engineers with insights into the resilience and reliability of VoIP communications under varying network conditions.

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Measure Conversions

The SDK's comprehensive testing suite also features eGeMAPS evaluation, essential for understanding the intricate relationship between acoustic changes and perceptual quality. This metric is invaluable for software engineers aiming to fine-tune audio parameters, ensuring that aoip.ai delivers a superior user experience in terms of audio richness and clarity.

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Small Scale Basic

$0.9396

  • Storage Size: 8.69 GB
  • Audio Hours: 81
  • Region Count: 9
  • Bandwidths: 1
Medium Scale Basic

$3.7584

  • Storage Size: 34.76 GB
  • Audio Hours: 324
  • Region Count: 18
  • Bandwidths: 1
Large Scale Basic

$8.4564

  • Storage Size: 78.21 GB
  • Audio Hours: 729
  • Region Count: 27
  • Bandwidths: 1
Small Scale Robust

$4.698

  • Storage Size: 43.45 GB
  • Audio Hours: 405
  • Region Count: 9
  • Bandwidths: 5
Medium Scale Robust

$18.792

  • Storage Size: 173.81 GB
  • Audio Hours: 1620
  • Region Count: 18
  • Bandwidths: 5
Large Scale Robust

$42.282

  • Storage Size: 391.07 GB
  • Audio Hours: 3645
  • Region Count: 27
  • Bandwidths: 5

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