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Sesame
Compared to Lugs.ai
Sesame vs Lugs.ai
Comparing the features of Sesame to Lugs.ai
Feature
Sesame
Lugs.ai
Capability Features
Best-in-Class Accuracy
Best-in-class accuracy
Consistent Personality
Context Awareness
Contextual Conversation Understanding
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Lifetime Updates
Live Caption Generation
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Internet Required
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Offline AI Processing
Partial Multilingual Support Planned
Planned for 20+ languages
Privacy First
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Transcribes All Audio
Integration Features
Desktop Audio Integration
GitHub Release
LLama Architecture Backbone
macOS Compatibility
Microphone Integration
Mimi Split-RVQ Tokenizer
Other Platforms Support
Limitation Features
Cannot Model Conversation Structure
Cloud Processing Not Included
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Other Features
Designed for Hearing Impaired
Pricing Features
Free Preview
Free Trial
Open Source
Apache 2.0