IBM Watson Text to Speech is a cloud-based service that converts written text into natural-sounding speech, enabling applications to interact with users audibly. It supports multiple languages and voices, allowing for customization and integration into various applications for enhanced user experience.
About IBM Watson Text to Speech
IBM Watson Text to Speech was developed by IBM as part of its Watson suite of AI services. It aimed to enhance human-computer interaction by converting text into natural-sounding speech. The service launched in 2014, leveraging IBM's extensive research in natural language processing and machine learning to provide accessible and customizable voice synthesis for various applications.
Strengths of IBM Watson Text to Speech include high-quality, natural-sounding voices, support for multiple languages, and easy integration with other IBM Watson services. Weaknesses involve potential latency issues and higher costs for extensive usage. Competitors include Google Cloud Text-to-Speech, Amazon Polly, and Microsoft Azure Text-to-Speech.
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How to hire a IBM Watson Text to Speech expert
An IBM Watson Text to Speech expert must have skills in API integration, proficiency in programming languages such as Python or JavaScript, familiarity with cloud platforms, and experience with natural language processing. Knowledge of voice customization and an understanding of audio file formats are also essential.
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