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SpeakHints
Compared to Sesame
SpeakHints vs Sesame
Comparing the features of SpeakHints to Sesame
Feature
SpeakHints
Sesame
Capability Features
AI-Generated Suggestions
Answer Questions
Ask AI (ChatGPT)
Auto Continue
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Customizable Hints
Data Privacy
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Language/Country Support
Bulgarian
Catalan
Chinese (Mandarin)
Czech
Danish
Dutch
English
Estonian
Finnish
Flemish
French
German
German (Switzerland)
Greek
Hindi
Hungarian
Indonesian
Italian
Japanese
Korean
Latvian
Lithuanian
Malay
Norwegian
Polish
Portuguese
Romanian
Russian
Slovak
Spanish
Swedish
Thai
Turkish
Ukrainian
Vietnamese
Live Translation
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Private Overlay Display
Pronunciation Correction
Real-Time Transcription
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Summarize Last 5 Minutes
Text and Audio Input
Text
Audio
Training Epochs
5
Integration Features
GitHub Release
LLama Architecture Backbone
Meeting Platform Integrations
Zoom
Google Meet
Microsoft Teams
Any spoken situation
Mimi Split-RVQ Tokenizer
OpenAI Model Integration
Latest OpenAI models
Platform Compatibility
macOS
iOS
Windows
Android
watchOS (soon)
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No File Export
No Mention of API
No Pre-trained Language Model Use
No Public Pricing Listed
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
WatchOS Support Coming Soon
Pricing Features
Free Preview
Open Source
Apache 2.0
Waitlist Access