Sesame vs Xpeacho AI Text‑to‑Speech

Comparing the features of Sesame to Xpeacho AI Text‑to‑Speech

Feature
Sesame
Xpeacho AI Text‑to‑Speech

Capability Features

Available Voices
880
Consistent Personality
Context Awareness
Continuous Voice Expansion
Conversational Dynamics
Conversational Speech Generation
Custom Pronunciations
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Immediate Account Creation
Languages Supported
80
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
Own TTS Engine
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Speed Adjustment
SSML Voice Effects
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Use Cases Information
Youtube NarrationMarketing ContentTutorial ContentNews NarrationAudiobooksPodcastsPresentationsBusinessCustomer SupportCall CentersVoice AssistantsDocumentary
Video Creator Focus
Voice Types
Standard VoiceAI Voice (Neural Voice)
Word Emphasis

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Language Limitation
Check available languages
Memory Bottleneck in Training
No Pre-trained Language Model Use
Pronunciation Fine-tuning Limitations
Limited fine-tuning features
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Flexible Pricing Plans
Pay-As-You-GoPackageSubscription
Free Preview
Free Tier
Low Cost Entry
Meagre cost
Open Source
Apache 2.0
Supported Payment Methods
PaypalCredit Card