If a preferred celebrity or other talent reflects your brand best and you want to be able to use their voice anytime you need it, ReadSpeaker can create a custom TTS voice powered by our leading-edge speech engine, to give your brand instant recognition in the voice user interface.Please note: Not all languages and voices are available for every solution.See our Languages Voices page for a complete list of available languages for each solution.
No static audio files may be produced, downloaded, or distributed.The background music in the voice demo is not included with the purchased product. Meet the ReadSpeaker TTS family of high-quality voice personas and put them to the test. In fact, expert third party industry observers rate the US English ReadSpeaker TTS voice as being the most accurate on the market. The enthusiastic feedback we receive from our customers confirms that we deliver the very best TTS solutions for successful online, offline, embedded and server-based applications around the world. Our commitment to providing outstanding TTS solutions is made possible by our uncompromising production process, designed to guarantee the quality levels that have earned ReadSpeaker TTS the trust of customers from across countries and markets. In the resulting speech database, each utterance is segmented into individual parts, such as phones, syllables, and words. We then apply a technique called Unit Selection Synthesis (USS). USS selects segments (units) of speech that can be glued together in such a way that high-quality synthetic speech is produced. A diverse script is used for the recordings, designed to contain all the sound patterns of the language in development. The team closely monitors the recording process to check for consistency in pronunciation, accentuation, and style. Each word, phoneme and stress is annotated as well as several other aspects. The technical team works its magic on this process using a powerful combination of Artificial Intelligence and machine learning technologies on big amounts of data to optimize annotations. Our state-of-the-art methodologies are augmented by the linguistic expertise of our team. The resulting database is used by the ReadSpeaker TTS engine to convert text into speech spoken by the TTS voice. One of ReadSpeakers unique characteristics is our ongoing improvement process. Through a system of high-quality feedback and a thorough Quality Assurance process by mother-tongue experts, imperfections are continuously corrected. Instead of USS, this revolutionary technique involves mapping linguistic properties to acoustic features using Deep Neural Networks (DNNs). This technique uses an iterative learning process to minimize objectively measurable differences between the predicted acoustic features and the observed acoustic features in the training set. A custom voice sets your brand apart and creates a powerful bond with your customers across your various communication touchpoints.
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