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.
Coqui TTS is a tool in the Voice & Audio Models category of a tech stack.
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What are some alternatives to Coqui TTS?
Amazon Polly is a service that turns text into lifelike speech. Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products. Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Google Cloud Text-to-Speech enables developers to synthesize natural-sounding speech with 30 voices, available in multiple languages and variants. It applies DeepMind’s groundbreaking research in WaveNet and Google’s powerful neural networks to deliver the highest fidelity possible.
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
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.
Python are some of the popular tools that integrate with Coqui TTS. Here's a list of all 1 tools that integrate with Coqui TTS.