IBM has announced three new libraries that can be used to build natural language processing, speech to text, and text to speech capabilities into applications. The libraries are all part of IBM's Watson platform.

IBM Watson is a platform that uses natural language processing and machine learning to discover insights in large sets of unstructured data. It is a question-answering system that can answer questions phrased using natural language. The new libraries provide access for developers to the same AI libraries that are used in IBM Watson products. IBM says the libraries are "designed to help lower the barrier for AI adoption by helping partners and clients address the skills shortage and development costs required to build machine learning and AI models from scratch."

The first of the three new libraries is the IBM Watson Natural Language Processing Library. This is a containerized library that is described as combining the best of open source and IBM Research NLP algorithms to deliver superior AI capabilities. Developers can choose which algorithm best suits their needs. The library has a modular design and can be used for sentiment analysis, entities extraction and text classification.

The other libraries are the IBM Watson Speech to Text Library and the Text to Speech Library. These are a set of containerized text-to-speech and speech-to-text libraries that convert audio speech using natural language AI technology to turn it into usable, searchable text. The Speech to Text library comes with advanced training techniques and customization tools to tailor the models for specific domains. The Text to Speech Library goes the other way, converting written text into natural sounding audio with accuracy in a variety of languages and voices within an existing application.

More Information

Watson Natural Language Processing Library for Embed

IBM Watson Speech Libraries for Embed

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