Coqui TTS vs Picovoice Leopard Speech-to-Text
Overview
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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 | |
What are some alternatives to Coqui TTS, Picovoice Leopard Speech-to-Text?
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Apiaudio
Have full ownership of the professional audio creation workflow: from content creation and versioning from text, to generation to speech, to sound design and mastering. Create and integrate audio experiences into your mobile applications, IoT projects, websites or social channels without learning specialized audio tools.
