Binaural Beats Factory vs Sesame

Comparing the features of Binaural Beats Factory to Sesame

Feature
Binaural Beats Factory
Sesame

Capability Features

Advanced AI Algorithms
Affirmation Database
AI-Driven Audio Creation
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Copy Existing Tracks
Dataset Size
1 million hours
Download Tracks
Emotional Intelligence
Evaluation Suite
Featured Tracks Library
Live Editing
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Personalized Audio Creation
Privacy Controls
Pronunciation Correction
Public Library Access
Publish Tracks
Select Ambient Sound or Music
Select Binaural Beats Frequency
Sequence Length
2048
Share Tracks
Single-Stage Model
Solfeggio Frequencies
Subjective Metrics
Comparative Mean Opinion Score
Supported Audio Types
SubliminalsAffirmationsAskfirmationsSelf-HypnosisSleep StoriesGuided MeditationPrayer
Text and Audio Input
TextAudio
Text to Speech
Track Customization
Track Management
Training Epochs
5
Translate Tracks
Video Tutorials
7

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Compatibility
Modern web browsers

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
Free Tier
Open Source
Apache 2.0