Imagine capturing a busking efficiency, solely to have automotive horns overpower the music — or filming a vlog in a café the place ambient noise makes conversations almost inconceivable to listen to.
Audio Eraser, launched within the Galaxy S25 collection, was designed to handle such conditions by lowering undesirable background noise and enhancing desired sounds to assist customers create extra immersive movies.1 Galaxy AI options like Audio Eraser — developed with a deep understanding of consumer wants — was made potential because of the proactive efforts of Samsung Research and the Mobile eXperience (MX) Business at Samsung Electronics.
Samsung Newsroom sat down with audio expertise consultants from the AI Solution Team at Samsung Research to study extra in regards to the growth of this progressive function.
▲ (From left) Kyoungbo Min, Hejung Yang, Hosang Sung and Jiwon Kim from the AI Solution Team at Samsung Research
Source Detection: The Future of Next-Generation Audio Technology
Audio Eraser allows customers to regulate sounds inside a video by eradicating undesirable noise and enhancing the audio they wish to spotlight. The function rapidly scans a video to detect and separate sounds by sort, and can be utilized not solely on clips recorded by the consumer but in addition on movies which have been shared or acquired.
Just as Object Eraser improved picture modifying and usefulness with its debut within the Galaxy S21 collection, Audio Eraser was developed to ship a extra superior and seamless multimedia expertise throughout each audio and video.
▲ Audio Eraser permits customers to regulate sounds by sort inside a video.
Developing Sound Source Detection and Separation Models
Audio Eraser acknowledges six kinds of sound — voices, music, wind, nature sounds, crowd noise and ambient noise. Using sound supply detection expertise, the function rapidly identifies what sounds are current and the place they happen in a video. Then, by way of sound supply separation expertise, it isolates and classifies every sound into distinct classes.
To construct AI fashions able to detecting and isolating these audio sorts, the analysis staff started by accumulating a sturdy set of coaching knowledge. They simulated a variety of real-world video recording eventualities to generate numerous audio datasets — and even went into the sector to seize on a regular basis sounds firsthand.
“Wind was particularly challenging to work with,” mentioned Hejung Yang from the AI Solution Team at Samsung Research. “Besides refining our wind simulation technology, we enhanced our dataset by recording actual wind sounds outdoors whenever strong winds occurred — even after work or on weekends.”
In addition, the staff devoted in depth time to enhancing the efficiency of the sound supply separation mannequin by fastidiously reviewing numerous video clips a number of occasions.
“Each developer compared and analyzed more than 1,000 audio samples every week under a variety of conditions,” mentioned Jiwon Kim. “Through continuous experimentation, we worked to identify the most effective sound source separation model to ensure consistent, high-quality results.”
▲ Samsung researchers work on creating audio expertise for Audio Eraser.
Delivering a New User-Centric Listening Experience
As Audio Eraser runs on-device, it provides an enhanced consumer expertise with real-time modifying and improved privateness safety. Samsung’s long-standing experience in creating aggressive on-device AI capabilities throughout numerous options performed a key function in Audio Eraser’s success.
“We focused on developing AI models and algorithms capable of fast, on-device processing,” mentioned Hosang Sung. “A great deal of effort went into creating an optimized AI solution that runs smoothly with low power consumption.”
Supported by a powerful AI analysis infrastructure, Samsung Research continues to strengthen its capabilities in superior audio applied sciences.
“We are dedicated to creating…
