Sesame vs Voice Dream Reader

Comparing the features of Sesame to Voice Dream Reader

Feature
Sesame
Voice Dream Reader

Capability Features

AI Voice Technology
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Document Support
Email Support
Emotional Intelligence
Evaluation Suite
Faster Reading
3x faster than reading
Handles Accents and Dialects
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
Offline Mode
Partial Multilingual Support Planned
Planned for 20+ languages
PDF Support
Premium Voices (Enterprise)
Over 200 human-quality voices
Privacy Protection
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Text to Speech
Textbook Support
Training Epochs
5
Upload Content
ArticlesPDFsCamera ScansEbooksAudiobooksTextbooksDocumentsEmails
Web Page Reading

Integration Features

Browser Extensions
GitHub Release
iPhone Support
LLama Architecture Backbone
Mac Support
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

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0