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Sesame
Compared to Speech Dream
Sesame vs Speech Dream
Comparing the features of Sesame to Speech Dream
Feature
Sesame
Speech Dream
Capability Features
Audio File Download
Browser File Storage
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Model Sizes
Tiny: 1B backbone, 100M decoder
Small: 3B backbone, 250M decoder
Medium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Account Required
No Data Tracking
No Usage Tracking
Objective Metrics
Word Error Rate
Speaker Similarity
Homograph Disambiguation
Pronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Session-based API Key Storage
Session only
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
Text
Audio
Text to Speech
Training Epochs
5
Use Own API Key
Voice Language Support
English
German
Spanish
French
Web Interface
Integration Features
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
OpenAI TTS Integration
Limitation Features
Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Built-in API Key
No Cloud Storage
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Pricing Features
Free Preview
Free Usage with API Key
Open Source
Apache 2.0