Sesame vs Voicemod

Comparing the features of Sesame to Voicemod

Feature
Sesame
Voicemod

Capability Features

AI Voice Models
Audience Engagement
Audio Effects
ReverbDelayRobotifier
Community Voices and Sounds
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Keybind Support
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Monetization via Twitch Bits
Multiple Speaker Handling
No Uploads Required
Noise Suppression
Number of Supported Voices
200
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Recording Replay
Sequence Length
2048
Single-Stage Model
Sound Meme Recording
Soundboard
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Ultra-Low Latency
Virtual Microphone Installation
Voice Creation and Tweaking
Voice Effects
GirlRobotAI AnimeBattlefield Radio
Voice Enhancement

Integration Features

Console Support via Voicemod Key
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Support
Windows 10Windows 11macOS
Remote Control via Mobile App
Third-Party App Compatibility
Any app with microphone input
Twitch Live Extension
Voice App Integration
DiscordIn-game voice chats

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Maximum Replay Duration
30
Memory Bottleneck in Training
No Audio Uploads
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