Samsung Galaxy AI’s Live Translate: Behind the Scenes of Real-Time Language Translation

Highlights

• Live Translate uses Automatic Speech Recognition, Neural Machine Translation, and Text-to-Speech
• Models developed for complex languages like Vietnamese, Arabic, and Hindi
• Real-world data collection improves translation accuracy
• Samsung R&D teams tackle language-specific challenges

Samsung’s Galaxy AI, introduced with the S24 line, has impressed users with features like Live Translate.

This innovative tool can hear spoken words and translate them into your chosen language in real-time.

But how does this complex feature actually work?

The Three-Step Process

Live Translate performs three core processes to deliver its seamless translation:

1. Automatic Speech Recognition (ASR): This step converts spoken words into text.
2. Neural Machine Translation (NMT): The text is then translated into the target language.
3. Text-to-Speech (TTS): Finally, the translated text is converted back into spoken words.

Each of these steps requires distinct sets of information for training the AI models.

Overcoming Language Challenges

Creating accurate models for various languages posed unique challenges:

• Vietnamese: With six distinct tones, the Samsung R&D Institute Vietnam developed a model that analyses short audio frames of about 20 milliseconds to differentiate between tones.
• European Languages: The Polish R&D team tackled the diversity of European languages, focusing on untranslatable phrases and idiomatic expressions.
• Arabic: The Jordanian team created a model capable of understanding various dialects and responding in standard Arabic, despite the complexities of written diacritics.
• Hindi: The Indian R&D team collected nearly a million lines of audio data, covering over 20 regional dialects with their unique inflections and colloquialisms.

Real-World Data Collection

To improve accuracy, Samsung’s teams went beyond basic language data:

• Indonesian researchers recorded conversations in coffee shops and work environments to capture authentic ambient noise.
• For Japanese, with its many homonyms, the team used Samsung’s internal large language model to create contextual sentences for better distinction between similar-sounding words.

Samsung’s commitment to addressing these linguistic intricacies demonstrates the complexity behind Galaxy AI’s Live Translate feature.

As AI technology continues to evolve, we can expect even more sophisticated language processing capabilities in future smartphone models.

FAQs

What is Samsung Galaxy AI’s Live Translate feature?

Live Translate is a real-time translation tool that converts spoken words into your chosen language using Automatic Speech Recognition, Neural Machine Translation, and Text-to-Speech.

How does Live Translate handle different languages?

Samsung’s R&D teams developed specific models for various languages, addressing unique challenges such as Vietnamese tones, European idioms, Arabic dialects, and Hindi regional inflections.

What are the three core processes of Live Translate?

The three core processes are Automatic Speech Recognition (ASR) to convert spoken words into text, Neural Machine Translation (NMT) to translate the text into the target language, and Text-to-Speech (TTS) to convert the translated text back into spoken words.

How does Samsung collect data for improving Live Translate?

Samsung collects real-world data by recording conversations in authentic environments, such as coffee shops and workspaces, and uses contextual sentences to distinguish between similar-sounding words.

Also Read: Samsung Expands Galaxy AI Live Translate to Support Third-Party Apps