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The Eden AI team can help you with your Text-to-Speech integration project. Possibility to filter to use only GDPR engines. Data protection: Eden AI will not store or use any data.The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines).

The response elements are also standardized thanks to Eden AI's powerful matching algorithms.

One API for multiple AI engines - Eden AI Eden AI allows you to call multiple AI APIs. Eden AI is the future of AI usage in companies. ‍Eden AI has been made for multiple AI APIs use. The combination leads to higher costs but allows your AI service to be safe and accurate because Text-to-Speech APIs will validate and invalidate each other for each piece of data. This approach is required if you look for extremely high accuracy. You can choose the cheapest Text-to-Speech provider that performs well for your data. Each data that you need to process will then be sent to the best Text-to-Speech API. You can use confidence score returned or other methods to check provider accuracy.Īfter the testing phase, you will be able to build a mapping of providers performance based on the criteria you have chosen (languages, fields, etc.). You need to set up a provider API that is requested if and only if the main Text-to-Speech API does not perform well (or is down). There are many reasons for using multiple APIs: We want our users to have access to multiple Text-to-Speech engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. Finance: read financial reports to analysts and traders, enabling them to quickly process large amounts of information.Ĭompanies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Text-to-Speech tasks in their cloud-based applications, without having to build their own solutions.‍Įden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment analysis API, Summarization, Question Answering, Data Anonymization, Speech recognition, and so forth.Business: automate repetitive tasks such as data entry, customer service, and telemarketing.Gaming: provide spoken dialogue and narration in video games, making the game more immersive.Advertising: create voiceovers for ads and commercials, making them more engaging and memorable.

Accessibility: provide audio descriptions for visual content, such as videos or images, making it accessible for people with visual impairments.Telecommunications: provide automated voice assistants for customer service, enabling customers to get information or assistance without having to talk to a human.Education: help students with reading difficulties to access written materials, and also can be used to make audiobooks.Healthcare: read medical notes and reports to doctors and nurses, enabling them to focus on the patient while still getting important information.Here are some examples of how TTS can be used in different fields : Text-to-Speech technology can be used in a variety of different fields to improve communication, accessibility, and automation. The machine converts pictures of the acoustic patterns of speech in the form of a spectrogram back into sound. There were several different versions of this hardware device only one currently survives. Cooper and his colleagues at Haskins Laboratories built the Pattern playback in the late 1940s and completed it in 1950. From his work on the vocoder, Homer Dudley developed a keyboard-operated voice-synthesizer called The Voder (Voice Demonstrator), which he exhibited at the 1939 New York World's Fair.ĭr. In the 1930s Bell Labs developed the vocoder, which automatically analyzed speech into its fundamental tones and resonances. This machine added models of the tongue and lips, enabling it to produce consonants as well as vowels. There followed the bellows-operated "acoustic-mechanical speech machine" of Wolfgang von Kempelen of Pressburg, Hungary. In 1779 the German-Danish scientist Christian Gottlieb Kratzenstein won the first prize in a competition announced by the Russian Imperial Academy of Sciences and Arts for models he built of the human vocal tract that could produce the five long vowel sounds. A brief history of Text-to-Speech methods