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Cols AI Voice
Compared to Sesame
Cols AI Voice vs Sesame
Comparing the features of Cols AI Voice to Sesame
Feature
Cols AI Voice
Sesame
Capability Features
AI Voice Calls
Cols GenAI Platform
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Enterprise Data Integration
Evaluation Suite
Fine Tuning and RLHF
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
Supports Foundation Models
Text and Audio Input
Text
Audio
Training Epochs
5
Integration Features
GitHub Release
Integration Details
Not specified
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
Usage Quotas
Not specified
Other Features
Get a Demo
Get Started Button
Pricing Features
Free Preview
Open Source
Apache 2.0
Pricing Information
Not specified