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Hume AI
Compared to Sesame
Hume AI vs Sesame
Comparing the features of Hume AI to Sesame
Feature
Hume AI
Sesame
Capability Features
Consistent Personality
Context Awareness
Conversational AI
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotion Instruction
Emotional Intelligence
Evaluation Suite
Game and AI Character Use Case
High Quality Voice
Languages Supported
English
Japanese
Korean
Spanish
French
Portuguese
Italian
German
Russian
Hindi
Arabic
Latency
<200ms
LLM-Powered TTS
Media Creation Use Case
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multimodal AI
Multiple Speaker Handling
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Phone Call Use Case
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Speech-to-Speech API
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Text to Speech
Training Epochs
5
Voice Cloning
Voice Design
Integration Features
API Integration With LLMs
Hume
Claude Sonnet 4.5
Grok 4 Fast
GPT 5
+20 more
Developer SDKs
Python SDK
Typescript SDK
Swift SDK
React SDK
C# SDK
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
Text Input Limit
500
Pricing Features
Free Preview
Free Tier
Open Source
Apache 2.0