Sangoma Lyra AMD (Answering Machine Detection) for Asterisk

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Sangoma Lyra AMD (Answering Machine Detection) for Asterisk

The Sangoma Lyra AMD (Answering Machine Detection) for Asterisk software application from Sangoma software provides the most accurate and resilient Answer Machine Detection (AMD) engine, enabling fast and reliable real-time call classification and drives the efficiency and quality of automated calling applications to unmatched levels.

Features and Benefits of Sangoma Lyra AMD

• Best in Industry Accuracy and Response Time
  Patent-pending algorithms deliver the highest accuracy and call delivery rates for automated calling applications.
• Asterisk Integration
  • SIP Call Flows
  • Asterisk patch available for simple integration
• Optimised Detection
  • Configurable Pre-Connect Tone Detection
  • Post-Connect Analysis
  • End of Greeting
• Resilience Against Different Calling Conditions
  The statistical models used by Lyra have built-in robustness to background noise and network conditions.
• Standards-based Integration via SIP 
  No proprietary Application Programming Interfaces. Support for both PSTN and VoIP networks.
• Operations in a Dynamic Environment
  Lyra uses call progress confidence measure, which allows it to adapt the call progress according to contact center operating conditions.

To maximize the efficiency of the outbound call center operations, accurate Answer Machine Detection (AMD) technologies are a must. Sangoma Lyra AMD (also known as Call Progress Analysis or CPA) is important, as it is the technology that assigns a Contact Center agent only to calls that involve a human response – maximizing productivity.

 

Contact Center operations must also comply with very stringent regulations, such as maintaining a low percentage of dropped calls, following no nuisance regulations, and connecting to an agent in less than 2 seconds. This puts a lot of pressure on existing CPA technologies because many rely on simple rule-based algorithms that provide sub-optimal performance, which in effect lead to poor efficiencies in the Contact Center.

Sangoma Lyra AMD uses new, patent-pending technology to provide more accurate and efficient CPA. With algorithms based on neural networks and statistical learning, Lyra delivers the highest accuracy and call delivery rates for automated calling applications and ensures fast and accurate automated call classification, which directly translate into improved efficiency of agents and higher quality customer interactions. With a higher automation rate and better use of agent time, this solution can literally save millions of dollars in yearly annual operating costs.

Sangoma Lyra AMD for Asterisk is a 100% software platform and is built on statistical models based on neural networks that represent the potential outcomes of call attempts. The result is a virtual machine that learns the patterns of what constitutes a voice mail versus a live human versus a special intercept tone, etc. Lyra functions much like the human brain and is able to adapt to a wide variety of noise conditions, ringing patterns and telecom network conditions. Lyra can be simply integrated with Asterisk to build contact centre solutions and can be used in conjunction with other NetBorder modules to deliver CPA results over a traditional telephony interface, or in a pure VoIP network. It interfaces with automated applications via the standard SIP protocol, so there are no complex APIs to integrate.

 

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