Elevate Your Brand with Custom Text-to-Speech Voices

Some of the latest trends in TTS development include, 

Neural TTS 

Neural TTS engines are a new type of TTS engine that uses machine learning to generate more natural-sounding audio than traditional TTS engines.  

Multilingual TTS 

TTS engines are now available that can synthesize Text in a wide range of languages, including many languages that were previously not supported.  

Cloud-based TTS 

Cloud-based TTS services allow businesses to use TTS technology without having to install and maintain their own TTS systems.  

TTS integration with other applications  

TTS engines are increasingly being integrated with other applications, such as customer relationship management (CRM) systems and learning management systems (LMS). This makes it easy for businesses to deliver audio content to their customers and employees through the channels that they already use.  

To train an AI-based text-to-speech (TTS) model, you will need a large dataset of Text and audio data. The text data should be in the language that you want the TTS model to be able to synthesize speech in. The audio data should be recordings of human speech in the same language.  

The quality and quantity of the training data will have a big impact on the performance of the trained TTS model. It is important to use high-quality audio data that is recorded in a variety of environments and by a variety of speakers. You should also use a large dataset of text data so that the TTS model can learn the patterns of the language.

At vrinsoft, we believe in offering industry leading standards for your requirements. For emerging technology like artificial intelligent based Text to speech solutions, we provide a wide range of services and features. The cost of Text to speech development is based on various factors like tech stack, complexity, and functionalities. Consult with us today to get a detailed understanding of the cost breakdown for Text to speech project.