Ambr AI vs Sesame

Comparing the features of Ambr AI to Sesame

Feature
Ambr AI
Sesame

Capability Features

Consistent Personality
Contact Option
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Emotional Intelligence
Employee Training Use Case
Evaluation Suite
Interactive Demo
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
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Safe Private Environment
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Use Cases
User Sign In
Voice AI Practice
Workplace Communication Focus

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Web-Based Platform

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Integration List
No Mention of File Format Support
No Pre-trained Language Model Use
No Pricing Details Listed
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Other Features

Terms & Policies Provided
Terms & ConditionsCookie PolicyPrivacy Policy

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0