Coqui TTS vs Picovoice Leopard Speech-to-Text
Overview
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CLI (Node.js)
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Detailed Comparison
It is a library for advanced Text-to-Speech generation. It’s built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed, and quality. It comes with pre-trained models, tools for measuring dataset quality and is already used in 20+ languages for products and research projects. | It is an on-device speech-to-text engine. By processing voice data locally on the device, it offers private, reliable, fully-customizable, and cost-effective audio transcription experiences. It achieves big tech-level accuracy at a fraction of their costs. |
High-performance Deep Learning models for Text2Speech tasks;
Fast and efficient model training;
Detailed training logs on the terminal and Tensorboard;
Support for Multi-speaker TTS;
Efficient, flexible, lightweight but feature complete Trainer API | Add voice for truly hands-free search experiences on websites, mobile applications and devices;
Transformative customer and employee experience with speech analytics and intelligence tools;
Add voice commands to devices, mobile or web applications to elevate user experience
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Statistics | |
GitHub Stars 43.3K | GitHub Stars - |
GitHub Forks 5.7K | GitHub Forks - |
Stacks 1 | Stacks 4 |
Followers 5 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
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