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Sesame
Compared to Vocea
Sesame vs Vocea
Comparing the features of Sesame to Vocea
Feature
Sesame
Vocea
Capability Features
Appointment Scheduling
Available 24/7
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Data Security
Dataset Size
1 million hours
Double-Booking Prevention
Emotional Intelligence
Evaluation Suite
Fast Setup
Hands-Free Management
Instant Confirmations
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Modify & Cancel Requests
Multiple Speaker Handling
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Phone Number Porting
Pronunciation Correction
Real-Time Calendar Sync
Sequence Length
2048
Single-Stage Model
Smart Assignation
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Integration Features
API Access
Booking Tool Integrations
Calendly
Cal.com
Acuity
Calendar Integrations
Google Calendar
Outlook
Preferred calendar
CRM API Integration
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Manual Human Intervention
Memory Bottleneck in Training
No Extra Hardware Needed
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Affordable Pricing
Less than a virtual assistant
Free Preview
Has Free Tier
Open Source
Apache 2.0
Pricing Plans
Trial Period