Sonofa vs Sesame

Comparing the features of Sonofa to Sesame

Feature
Sonofa
Sesame

Capability Features

AI-Powered Transformation
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Offline Listening
Partial Multilingual Support Planned
Planned for 20+ languages
Personalised Podcasts
Podcast Format Output
Podcast audio
Pronunciation Correction
RSS Feed Integration
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Transform Images
Transform PDFs
Transform Webpages

Integration Features

Any RSS-Compatible App Integration
API Access
Apple Podcasts Integration
File Formats Supported
WebpagePDFImage
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Compatibility
Any podcast app supporting RSSApple Podcasts
Supported Export Formats
Podcast audio via RSS

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Limits and Quotas
Not specified
Maximum File Length
Not specified
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
Pricing Information
Not specified