Taking AI Information From Good to Nice – Samsung International Newsroom

Samsung Analysis in Vietnam is a part of a collection concerning the individuals and improvements permitting cell AI to boost extra lives

 

Samsung is pioneering premium cell AI experiences. To find out how Galaxy AI is maximizing the potential of its customers, we’re visiting Samsung Analysis facilities world wide. Now supporting 16 languages, Galaxy AI is enabling extra individuals to increase their language capabilities, even when offline, because of on-device translation in options corresponding to Dwell Translate, Interpreter, Notice Help and Searching Help. We lately visited Jordan to study 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 individuals 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 study a language, contemplating they can’t 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 delicate variations in language.

 

The standard of information used straight impacts the accuracy of automated speech recognition (ASR), neural machine translation (NMT) and text-to-speech (TTS) — processes that assist Galaxy AI options corresponding to Dwell Translate, Interpreter, Chat Help and Searching Help break down language boundaries.

 

 

A Hurricane of Challenges

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

 

 

“Personally, creating an AI mannequin for Vietnamese was extra daunting than our typhoons!” he provides earlier than explaining the hurdles confronted through the growth 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. Subsequently, a meticulous and detailed method was essential.

 

“When related 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 important to place nice effort into the early levels of the AI studying course of.”

 

 

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

 

“This isn’t an easy job,” Thái explains. “Other than the quantity, the information 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 means of random checks for general high quality. Lastly, the dataset is normalized and cleaned earlier than use in coaching.

 

 

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

 

 

Along with the distinctive linguistic challenges in Vietnamese, there’s a lack of universally accessible information in comparison with extra broadly spoken languages. “That is another excuse why the information 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 think about 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 unlimited quantity of data to refine and confirm.

 

 

Continued Enchancment

Builders at SRV accomplished the venture after months of onerous 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 boost the AI mannequin by incorporating consumer suggestions concerning the relevance of phrases and phrases in Galaxy AI,” says Tran Tuan Minh, chief of the AI language growth venture at SRV. “We’ve got simply taken our first steps right into a extra open world  —  and we’ve got 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 skilled and fine-tuned.