Dubverse vs Sesame

Comparing the features of Dubverse to Sesame

Feature
Dubverse
Sesame

Capability Features

Accurate Pronunciation
Advanced Text Comprehension
AI Subtitles
AI Video Dubbing
API Access
API Documentation
Batch Processing
Consistent Personality
Consistent Voice Style Across Languages
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Emotive Voice Delivery
Evaluation Suite
Languages Supported
72
Mix-Language Comprehension
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-Speaker Voice Cloning
Multiple AI Models
Neo.OneCandy.Two
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Real-Time System Interaction
Sequence Length
2048
Single-Stage Model
Studio-Level Online Editing
Studio-Quality Audio
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Text to Speech
Training Epochs
5
Ultra Low Latency
under 500 ms
Video Editing Platform
Voice Cloning
Voice Customization Options
200

Integration Features

API Authentication
API Key
API Integrations
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Integration
ChatbotsLLMsAppsWebsites
Supported API Content-Type
application/json
Supported API Method
POST

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
No Self-Hosting Required
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0