LiveVoice vs Sesame

Comparing the features of LiveVoice to Sesame

Feature
LiveVoice
Sesame

Capability Features

AI Subtitles
AI Voice Translation
Audio Delay Control
Audio Description
BYOD Support
Channel Switching
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Live Event Page
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Guided Tours
Help Center
Human Interpretation Support
Interpreter Handover
Live Audio Streaming
Low Latency
Minimal Data Usage
Mobile Battery Saving
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
Multiple Sharing Methods
LinkInvite codeLocationQR-code
Multiple Speaker Handling
No Technical Knowledge Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
On-site, Online, Hybrid
On-siteOnlineHybrid
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Realtime Statistics
Recording Available
Remote Interpretation
Self-management
Sequence Length
2048
Service Packages
Silent Conferencing
Simultaneous Interpretation
Single-Stage Model
Speech-to-Speech Translation
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Theme Customization
LightDarkAuto
Training Epochs
5
Unlimited Channels
As many as needed
User Interface Language Options
EnglishDeutschEspañol

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Integration
... and many other platforms.
Works on All Devices
SmartphoneTabletComputer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
Mobile Internet or WIFI Required
No Pre-trained Language Model Use
No Special Hardware Required
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Admin Free Signup
Free Preview
Free Tier
Open Source
Apache 2.0
Pricing Plans