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Sesame
Compared to Voxabot
Sesame vs Voxabot
Comparing the features of Sesame to Voxabot
Feature
Sesame
Voxabot
Capability Features
Automatic Engine Updates
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Export SSML
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
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
SSML Editor
SSML Support
Subjective Metrics
Comparative Mean Opinion Score
Supported Language List
150
Supported Voices
820
Text and Audio Input
Text
Audio
Training Epochs
5
Unified API Login
User Data Privacy
Visual Edit Preview
Waveform Visualization
Integration Features
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
SSML Download Format
text file
Text to Speech
Google
Azure
AWS
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Microsoft Azure Subscription Required
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Free Preview
Free Tier
Neural TTS Pricing Parity
No Royalties
Open Source
Apache 2.0
Pricing Plan Details