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How to Use Text To Speech Julie Voice for Narrating Your Videos and Presentations



This demo tool lets you enter your own text and sample some of the languages and voices that we offer.Please note: Not all languages and voices are available for every solution. Also, more voices are available for certain solutions. See our Languages & Voices page for a complete list of available languages for each solution.




Text To Speech Julie Voice



To create our speech personas, we select and record professional voice talents. 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. 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.


In parallel, ReadSpeaker creates so-called neural voices, using techniques based on deep learning AI technology. This revolutionary method involves mapping linguistic properties to acoustic features using Deep Neural Networks (DNNs). An iterative learning process minimises objectively measurable differences between the predicted acoustic features and the observed acoustic features in the training set. One of the advantages of the new DNN TTS method is that the acoustic database can be much smaller than for a USS voice. Only a few hours of recorded speech are needed for a neural voice, compared to at least three times as many for a good quality USS voice. Also, the resulting speech is generally smoother and even more human-like. This makes developing new, smart ReadSpeaker TTS voices with even more lifelike, expressive speech and customizable intonation faster than ever.


If your strategy is to offer an exclusive customer experience and you want to take your brand appeal to a new level, one of the most powerful ways to differentiate yourself is by using a custom voice to represent you. A custom voice sets your brand apart and creates a powerful bond with your customers across your various communication touchpoints. 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.


You can also get a list of locales and voices supported for each specific region or endpoint through the Speech SDK, Speech-to-text REST API, Speech-to-text REST API for short audio and Text-to-speech REST API.


The table in this section summarizes the locales supported for Speech translation. Speech translation supports different languages for speech-to-speech and speech-to-text translation. The available target languages depend on whether the translation target is speech or text.


The research shows that Text To Speech technology in eLearning is beneficial to students. The voices can be engaging which helps the students learn. Plus, a Text To Speech engine can instantly convert any length of text into speech, as opposed to a voice talent who has to be scheduled to perform a recording and is often much costlier than a Text To Speech solution.


NaturalReader is a downloadable text-to-speech desktop software for personal use. This easy-to-use software with natural-sounding voices can read to you any text such as Microsoft Word files, webpages, PDF files, and E-mails. Available with a one-time payment for a perpetual license.


Amazon Polly has a Neural TTS (NTTS) system that can produce even higher quality voices than its standard voices. The NTTS system produces the most natural and human-like text-to-speech voices possible.


Standard TTS voices use concatenative synthesis. This method strings together (concatenates) the phonemes of recorded speech, producing very natural-sounding synthesized speech. However, the inevitable variations in speech and the techniques used to segment the waveforms limits the quality of speech.


The output of this model then passes to a neural vocoder. This converts the spectrograms into speech waveforms. When trained on the large data sets used to build general-purpose concatenative-synthesis systems, this sequence-to-sequence approach will yield higher-quality, more natural-sounding voices.


Easily convert your US English text into professional speech for free. Perfect for e-learning, presentations, YouTube videos and increasing the accessibility of your website. Our voices pronounce your texts in their own language using a specific accent. Plus, these texts can be downloaded as MP3. In some languages, multiple speakers are available.


Microsoft SpeechCommunicator supports the SAPI5 voice format. SAPI5 is Microsoft Speech API 5. It was the Microsoft standard speech format for text to speech from Windows XP through Windows 8. Windows 10 introduced Windows Mobile Voices. There are many more Windows Mobile Voices that come with Windows 10 than SAPI5 voices. The Windows Mobile Voices are not compatible with Communicator and will not appear under the list of voices.Below is a list of the voices that come with Windows along with their formats. Communicator compatible voices are green. Voices not compatible with Communicator are purple.


We also test mission critical applications using Dragon and the text to speech functionality of ZoomText to make sure that all of our users can access these applications. We have frequently found that code that meets accessibility and html standards will still not work properly with Dragon and ZT. Duplicating label content with the title attribute resolves most of these issues.Mike Moore(512) 424-4159-----Original Message-----From: = EMAIL ADDRESS REMOVED = [mailto: = EMAIL ADDRESS REMOVED = ] On Behalf Of Julie RomanowskiSent: Wednesday, September 16, 2009 2:14 PMTo: WebAIM Discussion ListSubject: Re: [WebAIM] Dragon NaturallySpeakingOur team tests with Dragon and JAWS (screen reader). A screen readerwill catch accessibility issues that may affect blind/low vision users,but will not catch many issues that voice recognition users mayencounter.-----Original Message-----From: = EMAIL ADDRESS REMOVED = [mailto: = EMAIL ADDRESS REMOVED = ] On Behalf Of Seth KaneSent: Wednesday, September 16, 2009 1:55 PMTo: = EMAIL ADDRESS REMOVED = Subject: [WebAIM] Dragon NaturallySpeakingDoes anyone use Dragon NaturallySpeaking during testing or do youprimarily stick to Screen Readers only?- Seth


Yes, we test with NaturallySpeaking, and it invariably throws up a bunch ofissues that were not found through technical testing or testing with otherassistive technologies.An increasing problem is its inability to interact with Flash content.NaturallySpeaking could interact via the Flash API but Nuance seem to havechosen not to bother. This leaves the mousegrid as the only means ofinteraction, which is entirely unsatisfactory. Sometimes you may be able touse voice commands to tab through the links but that is not reliable. Thisproblem is exacerbated by the fact that users usually have no idea whattechnology is being used - a Flash movie often looks like text and images,yet it fails to respond to the voice commands for those types of content.On pages with more than one vertical scrollbar users sometimes havedifficulty controlling the one they want, not realising that this may bedetermined by the position of the cursor or the place the mouse was lastclicked.With forms we often encounter problems where NaturallySpeaking entersprohibited characters such as currency symbols or commas in large numbers.For instance, saying "two thousand pounds" will result in 2,000 or even2,000.00 being entered. These symbols can cause data validation errors, andI have seen users totally baffled as to why an apparently valid number isnot being accepted.Note that a designer or tester using NaturallySpeaking is unlikely toidentify many of these issues because they know too much about thetechnologies and coding. You really need to test with real users and look atthe strategies they use for interacting with the content.Steve GreenDirectorTest Partners Ltd -----Original Message-----From: = EMAIL ADDRESS REMOVED = [mailto: = EMAIL ADDRESS REMOVED = ] On Behalf Of Seth KaneSent: 16 September 2009 19:55To: = EMAIL ADDRESS REMOVED = Subject: [WebAIM] Dragon NaturallySpeakingDoes anyone use Dragon NaturallySpeaking during testing or do you primarilystick to Screen Readers only?- Seth


Commercial speech recognition dictation products are increasingly being used as alternate input devices for computers, particularly by persons with physical disabilities. These discrete speech recognition products require the user to insert brief but distinct pauses between each spoken word. The need to isolate each word while dictating text causes the vocal folds of the untrained user to slam open and shut, resulting in glottal attacks. The tendency to maintain constant pitch, volume, and inflection while dictating to the computer results in keeping the musculature in a fixed position. Maintaining this musculature in a rigid position for extended periods of time could eventually result in injury. The growing use of speech recognition products by persons with and without disabilities indicates an urgent need to determine potential problems associated with the use of these products. Preliminary studies indicate that persons with Repetitive Strain Injuries (RSI) may be most vulnerable. Common-sense strategies (take frequent breaks, drink plenty of water) may postpone or minimize problems. 2ff7e9595c


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