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AI Voice Agent Builder
Compared to Sesame
AI Voice Agent Builder vs Sesame
Comparing the features of AI Voice Agent Builder to Sesame
Feature
AI Voice Agent Builder
Sesame
Capability Features
24/7 Customer Support
Audio Playback Example
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Customer Support Automation
Dataset Size
1 million hours
Demo Booking
Emotional Intelligence
Evaluation Suite
Lead Collection
Missed Call Handling
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Industry Use Cases
Multiple Speaker Handling
Mystery Shopping Calls
Natural Conversation
No Coding Required
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Restaurant Assistant
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Integration Features
GitHub Release
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
Free Tier
Open Source
Apache 2.0