Sesame vs Voice Assistant

Comparing the features of Sesame to Voice Assistant

Feature
Sesame
Voice Assistant

Capability Features

Community Project Library
Community Project Refresh
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Create Voice Agents
Custom Voice Agent Creation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
File Export Options
Industry Templates
Customer ServiceLanguage TutorPersonal Fitness CoachHealthcare Helper
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Production-Ready Deployment
Project Categories
HealthcareEntertainmentCustomer ServicePersonal AssistantEducation
Project Date Metadata
Project Views Counter
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Third-party Integrations

Limitation Features

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

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0
Pricing Information