Sesame vs Voicera

Comparing the features of Sesame to Voicera

Feature
Sesame
Voicera

Capability Features

Accessibility Support
Article Listening
Automatic Content Recognition
Basic Support
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Dedicated Account Manager
Early Access to New Features
Embeddable Voice
Emotional Intelligence
Enterprise Language Coverage
200
Evaluation Suite
Extremely Lightweight Embed
~2.2KB
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Support
10+ languages and voice versions available.200+ languages and dialects for Enterprise
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Priority Support
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supported Article Types
BlogsArticles
Supported Voice Versions
10
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

Browser Compatibility
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
Chrome Extension Comparison
English Language Dominance
Maximum Supported Articles
5
Maximum Supported Articles Enterprise
>1000
Maximum Supported Articles Pro
50
Memory Bottleneck in Training
Monthly Subscription
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Enterprise Plan Article Limit
>1000
Enterprise Plan Credits
Millions
Free Plan Article Limit
5
Free Plan Validity
Lifetime
Free Preview
Has Free Tier
Open Source
Apache 2.0
Pay-As-You-Go Price
Pro Plan Article Limit
50
Pro Plan Credits
100000
Pro Plan Price
$9
Starter Plan Credits
5000