Home
Articles
Home
NLPearl AI Voice Agent
Compared to Sesame
NLPearl AI Voice Agent vs Sesame
Comparing the features of NLPearl AI Voice Agent to Sesame
Feature
NLPearl AI Voice Agent
Sesame
Capability Features
24/7 Operation
Advanced Pearls
7
AI Voice Agent
Civic Services
Claim Handling
Concierge Services
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Customer Support
Dataset Size
1 million hours
Education Support
Emotional Intelligence
Evaluation Suite
Financial Guidance
Healthcare Provider Support
Home Services
Legal Support
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Order & Shop Support
Order Processing
Partial Multilingual Support Planned
Planned for 20+ languages
Pearl Types
Lead Booster
Debt Navigator
HelpDesk Pro
Insight Collector
MedAssist
Room Service
Legal Companion
ShopFlow
ConnectCare
FinGuide
EduMentor
ClaimEase
CivicConnect
HomeAdvisor
Pearls Catalog
14
Pronunciation Correction
Question Answering
Sales Team Support
Sequence Length
2048
Simple Pearls
7
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Survey Collection
Text and Audio Input
Text
Audio
Training Epochs
5
Integration Features
GitHub Release
Integrations Information
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Free Preview
Open Source
Apache 2.0
Pricing Information