Sesame vs Nijta Voice Harbor

Comparing the features of Sesame to Nijta Voice Harbor

Feature
Sesame
Nijta Voice Harbor

Capability Features

Broadcast-Ready Output
Compliance Standards
GDPRAI Act
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Language Addition
Dataset Size
1 million hours
Emotional Intelligence
Emotionally Intact Pseudovoices
Evaluation Suite
For Newsrooms & Media
Fully Automated Redaction
Irreversible Anonymization
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Support
EnglishFrenchGermanSpanishItalian
Multiple Speaker Handling
No Disruption to Existing Processes
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
One-Click Integration
Partial Multilingual Support Planned
Planned for 20+ languages
Preserves Emotions & Expressions
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Speaker, Age, Gender, Expressiveness Selection
Studio-Grade Quality
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Workflow Integration
Works with leading DAWs and editing suites

Integration Features

API Access
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Integrations
Avid Pro ToolsAdobe

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Explicit Free Tier Mentioned
No File Size Limit Mentioned
No Pre-trained Language Model Use
Purchase Required for Full Access
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
Waitlist for Plugin

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0
Usage Tokens
usage tokens purchase required