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Taking AI Knowledge From Good to Nice – Samsung International Newsroom

Samsung Analysis in Vietnam is a part of a collection concerning the folks and improvements permitting cellular AI to reinforce extra lives


Samsung is pioneering premium cellular AI experiences. To find out how Galaxy AI is maximizing the potential of its customers, we’re visiting Samsung Analysis facilities all over the world. Now supporting 16 languages, Galaxy AI is enabling extra folks to develop their language capabilities, even when offline, due to on-device translation in options corresponding to Stay Translate, Interpreter, Observe Help and Shopping Help. We lately visited Jordan to be taught the complexities of creating an AI mannequin for Arabic, a language with many dialects. This time, we’re going to Vietnam to discover how information is ready to coach AI fashions.


What’s the distinction between a ghost, grave and mom in Vietnamese? For a language spoken by 97 million folks worldwide, little or no. Every phrase interprets to “ma,” “mả” and “má,” respectively — and might solely be distinguished by tone. This illustrates how troublesome it may be for AI fashions to be taught a language, contemplating they can not acknowledge firsthand the context and feelings of conversations nor the intentions of these talking.


Samsung R&D Institute Vietnam (SRV) used finely refined information to assist its AI mannequin correctly acknowledge even essentially the most refined variations in language.


The standard of information used immediately impacts the accuracy of computerized speech recognition (ASR), neural machine translation (NMT) and text-to-speech (TTS) — processes that assist Galaxy AI options corresponding to Stay Translate, Interpreter, Chat Help and Shopping Help break down language obstacles.



A Storm of Challenges

“Vietnamese is a fancy and numerous language with wealthy expressions, lots of that are difficult to seize,” says Ngô Hồng Thái, NMT lead at SRV. Of the 16 languages that Galaxy AI helps, Vietnamese was notably troublesome to develop.



“Personally, creating an AI mannequin for Vietnamese was extra daunting than our typhoons!” he provides earlier than explaining the hurdles confronted throughout the improvement course of.



Vietnamese is a tonal language with six distinct tones. As evident within the “ma” instance above, small nuances in vocalization can drastically alter the meanings of phrases. Due to this fact, a meticulous and detailed strategy was vital.


“When comparable sounding phrases are damaged down, one phrase consists of a number of quick segments, or ‘body units’,” says Bui Ngoc Tung, ASR lead at SRV. “The AI mannequin differentiates between the quick audio frames of round 20 milliseconds to acknowledge what phrases correspond to a sure set of consecutive frames. As such, it’s essential to place nice effort into the early phases of the AI studying course of.”



Moreover, homophones and homonyms are frequent in Vietnamese. Individuals can usually depend on context and nonverbal parts in conversations to distinguish between phrases that sound the identical or are written the identical however have completely different meanings. Nevertheless, AI fashions have to be taught to precisely establish and differentiate between tones and comparable phrases.


“This isn’t a simple job,” Thái explains. “Other than the quantity, the info must be correct to make sure it’s able to recognizing the linguistic nuances that exist in Vietnamese.”




Rigorous Preparation

The info refinement course of consists of three steps. First, the audio and textual content used to coach the AI mannequin should be reviewed and corrected. Then, this dataset goes by way of random checks for total high quality. Lastly, the dataset is normalized and cleaned earlier than use in coaching.



“We completely carried out a collection of exams to examine the accuracy of our dataset,” says Nguyen Manh Duy, TTS lead at SRV who oversees database creation. “We confronted a variety of sudden issues together with misspelled phrases in scripts and background noise or incorrect pronunciation throughout audio recordings. We spent vital time refining and enhancing our coaching information.”



Along with the distinctive linguistic challenges in Vietnamese, there’s a lack of universally accessible information in comparison with extra extensively spoken languages. “That is another excuse why the info refinement stage is so necessary,” he provides. “Since we had restricted sources, every bit of information needed to be totally dependable. There was no margin for error.”



Furthermore, the AI mannequin for Vietnamese should contemplate each tonal and regional variations. To enhance the AI mannequin’s accuracy, the workforce collected huge quantities of information with Vietnam’s northern, central and southern accents — leading to an infinite quantity of data to refine and confirm.



Continued Enchancment

Builders at SRV accomplished the venture after months of exhausting work, and Vietnamese turned one of many first languages to be supported by Galaxy AI. Regardless of this success, the workforce is ceaselessly working to enhance the Vietnamese Galaxy AI expertise.


“We’re persevering with to reinforce the AI mannequin by incorporating person suggestions concerning the relevance of phrases and phrases in Galaxy AI,” says Tran Tuan Minh, chief of the AI language improvement venture at SRV. “We’ve got simply taken our first steps right into a extra open world  —  and now we have a lot extra to discover collectively.”



Within the subsequent episode of The Studying Curve, we are going to head to China to dig into how AI fashions are educated and fine-tuned.



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