VanillaVoice vs Sesame

Comparing the features of VanillaVoice to Sesame

Feature
VanillaVoice
Sesame

Capability Features

Artificial Intelligence Voices
Child Voices
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Download Audio
Emotional Intelligence
Evaluation Suite
Human-like Voice
Language/Country Support
American EnglishBritish EnglishAustralian EnglishSpanishFrenchGermanChinese (Mandarin)ItalianPortugueseRussianPolishJapaneseDutchHindi
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Multiple Voices Per Language
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Social Sharing
ShareTweet
Speak Button
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Use Case: Explainer Videos
Use Case: Presentations
Use Case: Professional Videos
Use Case: Video Courses
Voice Expansion
Voice Options
MaleFemaleChild

Integration Features

API or Plugin Integration
Downloadable File Formats
Not specified
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

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
Usage Limits
Not specified

Other Features

Cookie Usage

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0
Pricing Plan Details
Free
Trial Period