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Sesame
Compared to Murf AI
Sesame vs Murf AI
Comparing the features of Sesame to Murf AI
Feature
Sesame
Murf AI
Capability Features
AI Voice Generation
Consistent Personality
Contact Sales Option
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Enterprise Solutions
Evaluation Suite
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Text to Speech
Training Epochs
5
Voice Language Support
20
Voice Options
200
Integration Features
API Access
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
SDK Availability
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
Pricing Features
Free Preview
Free Tier
Open Source
Apache 2.0