The field of speech recognition and speech production have made tremendous progress ever since it gained prominence in the early 1990s and a number of advanced technologies and products are commercially available across the world. According to the latest analysis by Emergen Research, the global text-to-speech market size is expected to reach USD 7.06 billion in 2028 and register a revenue CAGR of 14.7% during the forecast period. With increasing demand for and use of text-to-speech feature, there have been significant improvements in the quality of voice, pronunciation of names and entities, conveying expressions, and seamless integration of machine translation and speech-to-text conversion. Text-based examples of communications that can be read out loud by TTS includes email, news, Web, blogs, instant messaging, and short message service (SMS), among others.Ĭurrent advancements in TTS technology have led to the development reasonable-sounding speech that have started to sound quite human. Text-to-speech feature provides a seamless and easy way to turn on-screen text into a voice – regardless of its end purpose such as entertainment, accessibility, or in certain cases, both.
Intelligible text-to-speech programs and platforms enable people with reading disabilities and visual impairments to listen to words written on a home computer. Since then, research into mechanical speech-synthesizers and electronic speech synthesizers has continued. The first computer-based speech synthesis system was developed in the late 1950s. The back-end, technically known as the synthesizer – converts symbols such as numbers and others into phonetic sounds. The front-end converts raw text into symbols such as numbers and abbreviations – which is called text normalization or tokenization.
A text-to-speech system is generally composed of two components – front-end and back-end. The synthesize speech is created by linking together pieces of pre-recorded speeches stored in storage platforms.
Text-to-speech (TTS) system converts normal language text into speech by leveraging computer systems. Over the recent years, text-to-speech has become one of the most popular assistive technology among students who have difficulties with reading.
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