ai_licia vs Sesame

Comparing the features of ai_licia to Sesame

Feature
ai_licia
Sesame

Capability Features

Automatic Stream Joining
Community Activation Planning
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Cross Platform Memory
Custom Display Name
Customizable Character
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Event Reaction
FollowCheersSubsRaidsAds
Live Streaming Support
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Natural Community Interaction
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation 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
TextAudio
Text Interaction
Training Epochs
5
Voice Interaction

Integration Features

API Access
File Formats Supported
GitHub Release
Integration with Discord
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Supported Platforms
TwitchTikTokDiscord
TikTok Integration
Twitch Integration

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
Platform Limitation
TwitchTikTokDiscord
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Has Free Tier
Open Source
Apache 2.0
Pricing Information
Not specified
Trial Period