A software component for polyglot texttospeech synthesis: beta testing results

Text-to-speech synthesis has many applications in the area of assistive technologies for visually impaired people. Some applications require multilingual text-to-speech synthesis. In this case, multilingual text analysis and voice switching are desirable. In this paper an improved functional version (beta) of a software component for polyglot text-to-speech synthesis is presented. Beta testing results are useful to reveal the optimal level of parameters and suggest new directions to improve the method and algorithms. Testing results show that the new version of the component is able to automatically detect the language with a reasonable accuracy from texts with a variable degree of fragmentation.