VM Hunter Features
The Most Accurate Answering Machine Detection Available
VM Hunter's SpeechLLM™ model uses advanced 8-layer neural architecture to achieve 99.7% voicemail detection accuracy. Reach more live humans, eliminate wasted agent time on voicemails, and maximize call center ROI.
Explore the technology in our SpeechLLM 8-Layer Architecture blog or view the SpeechLLM landing page
SpeechLLM™ - 8-Layer Neural Architecture
VM Hunter's proprietary SpeechLLM model uses an 8-layer deep neural network specifically engineered for answering machine detection. Each layer specializes in a different aspect of audio analysis, from signal normalization to transformer-based context understanding.
- Layer 1: Signal Normalization & Preprocessing
- Layer 2: Mel-Spectrogram Feature Extraction
- Layer 3: Real-Time Signal Detection (beeps, fax tones, DTMF)
- Layer 4: Speech Recognition & Transcription
- Layer 5: Linguistic Pattern Analysis
- Layer 6: Transformer-Based Context Analysis
- Layer 7: Multi-Class Classification with Confidence Scoring
- Layer 8: Continuous Learning & Feedback Integration
99.7% Accuracy - Production Proven
Trained on millions of real-world call recordings across 65+ languages and all major carriers. SpeechLLM handles edge cases that legacy AMD systems completely fail on, including iOS/Android call screening (CALLGUARD), international accents, codec compression, and carrier-specific voicemail systems.
- 0.2% false positive rate (real humans dropped)
- 0.3% false negative rate (voicemails to agents)
- 99.7% accuracy across 65+ languages
- 99.7% CALLGUARD (iOS/Android screening) detection
- Handles all codec types and network conditions
- Continuous improvement through production feedback
Sub-50ms Real-Time Classification
Get instant call routing decisions the moment audio starts streaming. Our optimized inference pipeline delivers HUMAN/MACHINE/CALLGUARD/IVR/DISCONNECT classifications in under 50ms with confidence scores, enabling immediate intelligent call routing.
- Sub-50ms response time
- WebSocket streaming audio support
- 10,000+ concurrent calls at scale
- 99.99% uptime SLA
- Multi-class probability distribution
- Custom confidence thresholds per campaign
More Powerful Features
Everything you need for enterprise-grade call intelligence
CALLGUARD Detection
Correctly identifies and handles iOS, Android, and carrier-based call screening. Routes screened calls to agents instead of hanging up on real humans.
Real-Time Analytics
Comprehensive dashboards showing HUMAN/MACHINE/CALLGUARD/IVR/DISCONNECT breakdown, accuracy metrics, and agent utilization gains.
65+ Languages Supported
Detects voicemails across 65+ languages with regional accent understanding, carrier-specific systems, and multilingual edge cases.
Easy Integration
Works with VICIdial, Asterisk, FreeSwitch, GoAutoDial. Standard AMD variable compatibility - no dialplan rewrites needed.
Continuous Learning
Layer 8 feedback integration learns from production data monthly. Accuracy improves over time as the model sees your specific calling patterns.
Enterprise Security
SOC 2 Type II compliant, end-to-end encryption, zero-trust architecture, and enhanced data residency options globally.
Experience SpeechLLM™ Today
See how VM Hunter's 99.7% accurate AMD reaches more live humans and maximizes agent productivity. No credit card required - deploy in minutes.