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Sesame
Compared to Echo
Sesame vs Echo
Comparing the features of Sesame to Echo
Feature
Sesame
Echo
Capability Features
AI Transcription
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
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
Save & Organize Recordings
Sequence Length
2048
Single-Stage Model
Speech to Text
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Voice Commenting
Works on Multiple Platforms
Google Suite
Notion
Miro
Jira
Integration Features
Chrome Extension
GitHub Release
Google Suite Integration
Jira Integration
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Miro Integration
Notion Integration
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Extension Required
Memory Bottleneck in Training
No Pre-trained Language Model Use
Primary Integration Google Suite
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Free Preview
Free Trial/Demo
Open Source
Apache 2.0