ABSTRACT A method for upmixing of single-channel audio signals for stereophonic sound
reproduction in real-time is presented. To this end, the input signal is decomposed into a …

In this paper, we propose a subband-based stereo to 5.1-channels upmixing method using
deep neural networks (DNNs) in MPEG-H 3D audio framework. In the training stage, DNN …

In this paper, an artificial stereo extension method that creates stereophonic sound from a
mono sound source is proposed. The proposed method first trains deep neural networks …

Blind upmix denotes the process of converting audio content into a higher number of output
channels without the aid of any prior spatial information. This is often needed for upmixing …

In this paper we propose a method of extending monaural into stereophonic sound based
on deep neural networks (DNNs). First, it is assumed that monaural signals are the mid …

Applause is the sound of many people gathered in one place and clapping their hands. It is
an expression of enthusiasm and appreciation. In live recordings, it is a vital part evoking the …

본 논문에서는 대부분의 휴대용 멀티미디어 기기들이 모노 마이크로폰을 탑재하거나, 스테레오
마이크로폰을 인접 배치하여 거의 모노에 가까운 오디오 신호를 획득한다는 점을 감안하여 …

In this paper, we address the issue of the real-time implementation of an artificial stereo
audio extension method that provides stereophonic audio from a mono audio source. First …

본 논문에서는 hidden Markov model (HMM) 기반의 스테레오 신호로부터 서라운드 오디오
신호를 생성하는 기법을 제안한다. 먼저 5.1 채널 오디오 훈련 데이터베이스로부터 MDCT …

요 약본 논문에서는 hidden Markov model (HMM) 기반의 스테레오 신호로부터 서라운드
오디오 신호를생성하는 기법을 제안한다. 먼저 5.1 채널 오디오 훈련 데이터베이스로부터 …