JBI Studios' Blog on Voice-Over, Dubbing, and Multimedia Localization.

Multilingual Voice Assistants

More than one out of five Americans speak a language other than English with Spanish as the most popular second language. In Canada, English and French are the two official languages. In India, there is a wealth of many different languages with Hindi as the most popular and English widely spoken. It makes sense then that companies like Google, Apple, Amazon, and Samsung are making sure that their voice assistants and smart speakers are equipped with multiple languages.

With recent updates, certain voice assistants are able to respond to a bilingual user speaking one language then switching to another without adjusting the settings. Voice assistants are also getting better at understanding the regional accents of a particular language. These advancements take a great deal of research, development, and localization.

Let's take a look at how voice assistants learn languages, some of the challenges involved, and the leaders in voice assistant localization.

[Average read time: 4 minutes]

Topics: Voice-over & Audio Text-to-speech Speech-to-text voice assistants

The Rise of Voice Assistants and Smart Speakers

This past decade we saw explosive growth in voice assistant technology. Voice assistants are software such as Alexa, Google Assistant, Siri, and others, that are able to respond to or perform actions based on voice commands. Smart speakers are hardware like Amazon Echo, Google Home, and Apple HomePod, which have built-in voice assistants and a microphone and speaker to listen to and playback sound.

Voice assistants use text-to-speech, voice recognition, and natural language processing (NLP) to recognize and respond to voice commands. The technology is creating new opportunities in the voice industry, but it is also supplanting some voice work that was originally only done by humans. In this blog, we will look at the history of voice assistants, how they work and are used, as well as some of the ethical/economic implications they may pose to society.

[Average read time: 4 minutes]

Topics: Voice-over & Audio Text-to-speech localization Speech-to-text

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