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Sesame
Compared to Soundverse AI
Sesame vs Soundverse AI
Comparing the features of Sesame to Soundverse AI
Feature
Sesame
Soundverse AI
Capability Features
AI Lyrics Generator
AI Music Generator From Text
AI Singing
Auto-Complete
Auto-Loop Song
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Trained Models
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Extend Music
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
Music Assistant Chat
Music Genre Coverage
EDM
House
Dance Pop
Cinematic Electronica
Sufi-Electronica
Global Future
Hip-Hop
R&B
Afro-Drill
Retro-Futuristic
Analog-Driven
Atmospheric
Piano House
Dubstep
Big Room
Folktronica
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Prebuilt DNA Models
Piano House
Dubstep
Big Room
EDM
Folktronica
Pronunciation Correction
Sequence Length
2048
Signature DNA Styles
EDM
House
Dance Pop
Cinematic Electronica
Sufi-Electronica
Global Future
Hip-Hop
R&B
Afro-Drill
Retro-Futuristic
Analog-Driven
Atmospheric
Similar Music Search
Single-Stage Model
Stem Separation
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Training Epochs
5
Voice AI Music Assistant
Voice Swapping
Voice to Instrument
Integration Features
API Access
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Web-Based Platform
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
No Track Found
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
User Login Required
Pricing Features
Free Preview
Free Tier
Open Source
Apache 2.0