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Video-Guided Sound Source Separation
Lecture Notes in Computer Science, 2019A major aim of separating sound source is to separate the sound of interest out of mixture, such as the sound of objects on the screen. In this paper we put forward a method incorporating sound-indicated object detection and using the detection result to separate the on screen sounds and the off screen ones. After training, the object detection network
Di Guo, Huaping Liu, Fuchun Sun
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Sound Source Separation Apparatus And Sound Source Separation Method
The Journal of the Acoustical Society of America, 2011To shorten an output delay while a high sound source separation performance is ensured when a sound separation process based on an ICA method is performed. A second Fourier transform process execution cycle t2 for obtaining a second frequency-domain signal S1 used as an input signal of a filter process is set shorter than a first Fourier transform ...
Takashi Hiekata, Yohei Ikeda
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Sound source separation for a robot based on pitch
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005We present a novel method for the separation of monaurally recorded speech signals based on pitch. Our method is inspired by the ability of some auditory neurons to phase lock with the excitation signal. After applying a Gammatone filter-bank on the original signal we compare the distances between zero crossings of possible harmonics and decide upon ...
Martin Heckmann +2 more
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Separation of Sound Sources Propagated in the Same Direction
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2005This paper describes a method for separating a target sound from other noise arriving in a single direction when the target cannot, therefore, be separated by directivity control. Microphones are arranged in a line toward the sources to form null sensitivity points at given distances from the microphones.
Akio Ando +3 more
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Sound Source Separation Using Neural Network
2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019We have given an unsupervised separation of the sound for combination of the unknown different sound in the channel based on the DNN i.e. deep neural network. here it can be separate the different voices with the assumption of the dissimilarity measures of the audio signal. It has been shown that the different sound can be classified and separate. Here
Shreya Sose +2 more
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Auditory Filterbanks Benefit Universal Sound Source Separation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021For separating two arbitrary sources from monaural recordings, the encoder-separator-decoder framework is popular in recent years. We investigated three kinds of filterbanks in the encoder: free, parameterized, and fixed. We proposed parameterized Gammatone and Gammachirp filterbanks, which improved performance with fewer parameters and better ...
Han Li, Kean Chen, Bernhard U. Seeber
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The Dimensions of Perceptual Quality of Sound Source Separation
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018Quality of sound source separation algorithms has traditionally been evaluated based on a set of established quality metrics: target distortion, interference from other sources, artifacts distortion, and a measure of overall separation quality. In our previous work, listening test results were presented where no significant correlation between these ...
Estefanía Cano +3 more
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Sound source separation and automatic speech recognition for moving sources
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010This paper addresses sound source separation and speech recognition for moving sound sources. Real-world applications such as robots should cope with both moving and stationary sound sources. However, most studies assume only stationary sound sources. We introduce three key techniques to cope with moving sources, that is, Adaptive Step-size control (AS)
Kazuhiro Nakadai +3 more
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Source adaptivity for cardiac sound separation
48th Midwest Symposium on Circuits and Systems, 2005., 2005Physiological sounds exhibit a variety of waveforms and hence, their probability density functions (pdf) show a wide variation in their shapes ranging from subGaussian to superGaussian to multimodal. In blind source separation (BSS) applications, where extraction of cardiac sounds from their mixtures is the main objective, assuming a particular density
V. Nigam, R. Priemer
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The Effect of Spatially Separated Sound Sources on Speech Intelligibility
Journal of Speech and Hearing Research, 1969A series of five experiments was conducted to investigate the effects of spatial separation of speakers on the intelligibility of spondaic and PB words in noise and the identification of synthetic sentences in noise and competing message. Conditions in which the spatial location of the speakers produced interaural time differences ranked highest in ...
D D, Dirks, R H, Wilson
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