Sesame vs AdutorAI

Comparing the features of Sesame to AdutorAI

Feature
Sesame
AdutorAI

Capability Features

AI Improvement
Choose Output Style
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Output Styles
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Dataset Size
1 million hours
Edit Notes
Emotional Intelligence
Evaluation Suite
Language Support
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Note Condensing
Note Expansion
Note Translation
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Recording Function
Regenerate Notes
Restyle Notes
Save and Edit Notebook
Save Notes
Sequence Length
2048
Show Original Transcript
Single-Stage Model
Speech to Text
Subjective Metrics
Comparative Mean Opinion Score
Summarization
Text and Audio Input
TextAudio
Training Epochs
5
Write in Different Styles

Integration Features

GitHub Release
Integration Information
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Audio Duration Limit
3
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
Has Free Tier
Open Source
Apache 2.0