Sesame vs Typper

Comparing the features of Sesame to Typper

Feature
Sesame
Typper

Capability Features

AI for Design
AI for Education
AI-Powered Accessibility
Backend and Frontend Support
Book to Audio Conversion
Cloud Computing Support
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Design Product Offering
Design System Support
Education Product Offering
Emotional Intelligence
Evaluation Suite
Financial Sector Scalability
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No-Code and Low-Code Solutions
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Preloaded Classic Books
Beyond Good and EvilFrankensteinMobi DickNotes from UndergroundAlice's AdventuresSherlock HolmesPicture Dorian GrayMeditationsDráculaThe TrialMetamorphosis
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Telemedicine Platform Experience
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Free Tier Stated
No Listed Integrations
No Pre-trained Language Model Use
Pricing Information Not Provided
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Open Source
Apache 2.0