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Technology behind text-to-speech
Text-to speech technology is revolutionizing how people read texts. Text-to-speech applications now let you change the tone of the synthesized voice, which makes the process more realistic. Text-to-speech apps often allow you to switch between a male or female voice. While the voice may sound similar to a human voice, it is still quite recognizable as a synthesized voice.
Apps
There are many apps for Android and iOs which can translate text into spoken language. These apps can be downloaded for free and can help you keep track of important information wherever you are. For text to be read aloud, download the Voice Aloud App from Google Play Store. This application uses Google’s Text-to-Speech engines to convert text to speech. You can choose between over 170 languages or voices depending on your needs.
Voices
Text to Speech tools offers different voices for each platform. The default Windows voice is the default. However, you can alter this to your liking. To change this, open the Accessibility options menu of your software’s main windows and select Voices. If you need a different tone, you can install additional voices. Microsoft and Apple offer voice support for the respective platforms. You can also download voices for Windows and Mac computers free of charge from their websites.
Languages supported
Text to Speech can support a language by using a service. You can choose from different voices and dialects depending on what language you are using. There are 51 different languages supported by Text to Speech services. These services are available in 51 languages. The following list will show you which languages they support. The language codes are also available for each language. These languages may not all be supported by every service. However, the language you’re using should be set correctly before enabling Text to Speech.
Challenges in developing a “better” voice
The richness and variety of prosody is an essential part of natural speech. Unfortunately, current text-to-speech systems are not able to capture this richness. You need to have speech databases that can accommodate different intonations, pitch accents, and phrasing patterns. This will allow you to create more accurate prosody models. Although audio books make a great candidate for prosodic modeling, implementing them can be difficult. To process long speech files properly, you need to segment them carefully, identify mispronunciations and extract prosody.
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