Speech Intellect vs Sesame

Comparing the features of Speech Intellect to Sesame

Feature
Speech Intellect
Sesame

Capability Features

Adaptive Response Manner
Amorphous Encryption
Automated Business Processes
Business Case Integration
Video game humanoid voiceCall center communicationVirtual website communicationSmart home conversation
Cloud Computing Infrastructure
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Cost Reduction for Coordination
Custom Scenario Creation
Dataset Size
1 million hours
Emotion and Tone Detection
Emotional Intelligence
Evaluation Suite
International Compliance
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Private Key Storage
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Pre-written Scenario Execution
Pronunciation Correction
Real-Time STT/TTS
Security Guarantee
Semantic Speech Recognition
Sense Theory Algorithm
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Tonality and Intonation in TTS
Training Epochs
5
Voice Customization
AgeGenderEmotional color

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Integration Details
No Pre-trained Language Model Use
No Pricing Information
No Usage Quotas Stated
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Other Features

Beta Version

Pricing Features

Free Preview
Open Source
Apache 2.0