Development of AI Speech Analytics for Call Recording Analysis
Speech Analytics processes 100% of call recordings, extracting: topics, sentiment, keywords, behavior patterns, compliance violations. Replaces selective manual audit with full automatic coverage.
Architecture
Recording → STT → NLP Pipeline → Feature Extraction → Storage → Analytics
NLP Pipeline
Extracts:
- Topics: auto-detects main themes
- Entities: names, amounts, dates, products
- Sentiment timeline: sentiment by segments
- Compliance: required/forbidden phrases
- Script adherence: % phrases from script
Compliance Monitoring
Checks for:
- Required phrases: greeting, verification, farewell
- Forbidden phrases: unprofessional language
- Privacy/security terms (GDPR, consent)
Topic Modeling
Uses LLM to classify calls by topic: billing, delivery, returns, complaint, consultation, etc.
Timeline: basic Speech Analytics with 5 analyzers — 6–8 weeks. Full platform with dashboard — 3–4 months.







