Sesame vs SpokenLayer

Comparing the features of Sesame to SpokenLayer

Feature
Sesame
SpokenLayer

Capability Features

AI-Driven Audio Creation
Audience Development
Audio Ad Transformation
Audio Monetization
Audio Production Service
Book a Meeting
Consistent Personality
Contact Email Provided
info@spokenlayer.com
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Music and Sound Design
Data-Driven Campaigns
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
For Publishers and Advertisers
PublishersAdvertisersPodcasters
Human Voice Acting
Human Voice Talent
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Newsletter Signup
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Open-ended Host Prompts
Partial Multilingual Support Planned
Planned for 20+ languages
Podcast Distribution
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Smart Device Distribution
Social Media Presence
LinkedInXInstagramFacebook
Streaming Platform Distribution
Subjective Metrics
Comparative Mean Opinion Score
Synthetic Voicing
Text and Audio Input
TextAudio
Training Epochs
5

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 API Mentioned
No Explicit File Format Support Listed
No New Asset Creation Needed
No Pre-trained Language Model Use
No Public Pricing
No Self-Service Signup
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Open Source
Apache 2.0