This is how a new ReadSpeaker TTS voice persona is born. The resulting database is used by the ReadSpeaker TTS engine to convert text into speech spoken by the TTS voice: segments (units) of speech are selected and ‘glued’ together in such a way that high-quality synthetic speech is produced. Our state-of-the-art methodologies are augmented by the linguistic expertise of our team. 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. To create a USS voice, the audio resulting from recording the voice talent is segmented into smaller units, such as sentences, words, syllables, phonemes (speech sounds such as individual vowel and consonant sounds).Ī rich mark-up is added to this database of speech units, which is to say information is added to the units about the stress (did the unit come from a stressed or from an unstressed syllable?), the position in the word or sentence, etc. These voices are still used in most of our SaaS solutions, such as webReader and docReader. Until about 2019, all our high quality voices were made using a technology called Unit Selection Synthesis (USS). The team closely monitors the recording process to check for consistency in pronunciation, accentuation, and style. A diverse script is used for the recordings, designed to contain all the sound patterns of the language in development.
Once a voice talent has been selected, she or he works with our voice development team for several days or weeks, depending on the type of voice, or the voice technology, we want to use.
#SIRI VOICE EMULATOR PROFESSIONAL#
To create our speech personas, we select and record professional voice talents. 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.
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. In fact, expert third party industry observers rate the US English ReadSpeaker TTS voice as being the most accurate on the market.
#SIRI VOICE EMULATOR SOFTWARE#
When it comes to interacting with the software present on the iPhone, Siri beats Google Assistant Hands down.At ReadSpeaker, we have a passion for developing high-quality TTS voices. Siri is also easier to launch than Google Assistant. Since it is integrated right into iOS, it can launch apps, change settings, make calls and send messages. Siri beats its competition, including Google Assistant, on iPhone because of the closed nature of iOS platform. It is obvious that when it comes to AI and smart assistance, Google Assistant is far superior to Siri.
It is far better when it comes to conversational questions and contextual recognition. It’s no surprise here as Google Assistant has the power of Google’s entire search engine and other tools behind it. Google Assistant keeps it advantage over Siri when it comes to retrieving any information from the internet. Her results even included a link to the Google Translate. Google Assistant returned with what was asked for and Siri showed her love for web pages again, giving us the links to different websites.
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