All Voice Lab vs Sesame

Comparing the features of All Voice Lab to Sesame

Feature
All Voice Lab
Sesame

Capability Features

Consistent Personality
Consistent Voice Across Languages
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Emotionally Expressive Speech
Evaluation Suite
Gender Selection
MaleFemale
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language Support
EnglishFrenchGermanChineseJapaneseKorean
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Real-Time Speech Adaptation
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Video Localization
Voice Cloning
Voice Library
Voice Search Filters
languagegender

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

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

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0