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Sesame
Compared to Hearling
Sesame vs Hearling
Comparing the features of Sesame to Hearling
Feature
Sesame
Hearling
Capability Features
Audio File Download
Batch Clip Creation
50
Cloud Storage
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Fully Customizable Voice
History Retention
Language/Country Support
34
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 Variety
200
Integration Features
API Integrations
File Formats Supported
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
Sign Up Required
Pricing Features
Free Characters Quota
5000
Free Preview
Free Tier
Open Source
Apache 2.0
Paid Plan Price
$5 per month