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Sesame
Compared to Pipecat
Sesame vs Pipecat
Comparing the features of Sesame to Pipecat
Feature
Sesame
Pipecat
Capability Features
Community Support
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Daily.co Engineering Support
Dataset Size
1 million hours
Documentation Provided
Emotional Intelligence
Evaluation Suite
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multimodal Conversational AI
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
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Voice Conversational AI
Integration Features
Discord Community
GitHub Release
Github Repository
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Free Preview
Open Source
Apache 2.0