نتایج جستجو برای: musical noise

تعداد نتایج: 214891  

2002
Hyoung-Gook Kim

This paper presents a speech enhancement using a noise estimation based on the ratio of the noisy speech and its minimum (NSMR) for non-stationary noise environments. The noise estimator is a very simple but highly effective real time approach for single channel noise reduction. The enhanced speech is free of musical tones and reverberation artifacts and sounds very natural compared to methods ...

2006
Stefan Goetze Volker Mildner Karl-Dirk Kammeyer

One demand for comfortable high quality hands-free video conferencing systems is the transmission of a spatial acoustical impression. Therefore a major task is the transmission of stereo speech signals from a noisy environment. The suppression of the noise components must not corrupt the stereo effect. In this context different single channel, multi-channel and hybrid speech enhancement systems...

2000
Wenkai Lu Xuegong Zhang Yanda Li Li Qin Shen Weibin Zhu

A joint speech signal enhancement based on singular value decomposition filter after spectral subtraction (SSVD) is proposed in this paper. The residual noise after spectral subtraction, which results for audible musical noise, is reduced further by SVD filter. The matrix size in spectral domain can be reduced half, and larger step-length adopted by SVD filter in spectral domain leads to lower ...

Journal: :Memory 2001
Sébastien Tremblay William J. MacKen Dylan M. Jones

Irrelevant sound consisting of bursts of broadband noise, in which centre frequency changes with each burst, markedly impaired short-term memory for order. In contrast, a sequence of irrelevant sound in which the same band-pass noise burst was repeated did not produce significant disruption. Serial recall for both visual-verbal (Experiment 1) and visual-spatial items (Experiment 2) was sensitiv...

Journal: :Speech Communication 2010
Kuldip K. Paliwal Kamil K. Wójcicki Belinda Schwerin

In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the modulation domain is for spectral subtraction as compared to the acoustic domain. For this purpose, we extend the traditional analysis-modification-synthesis framework to include modulation domain processing. We then comp...

1999
N. Pfizer Chittaranjan Andrade

Musical obsessions are rare in both clinical practice and literature. A case is presented of a musical obsession which had the additional unique characteristics of acute onset, marked severity, and occurrence as an isolated symptom.

2006
Fabiana Soncini Maristela Júlio Costa

Background: auditory training improves the perception of complex acoustic signals as well as the perception of speech. Aim: to verify if auditory training, through the practice of music, has an influence on the ability to recognize speech in quiet and noisy situations. Method: participants of this study were 55 individuals, with no musical experience (non-musicians) and 45 professional musician...

2002
Oytun Türk Omer Sayli Helin Dutagaci Levent M. Arslan

A classification system that aims to recognize the presence of sounds from different sources is described. The type of audio signals considered are speech, music, noise and silence. Appropriate subband processing is applied for the characterization of each sound source. The algorithm operates in four steps to classify the contents of a given audio signal. The acoustical parameters and statistic...

Journal: :Brazilian journal of otorhinolaryngology 2015
Camila Maia Rabelo Ivone Ferreira Neves-Lobo Caroline Nunes Rocha-Muniz Thalita Ubiali Eliane Schochat

INTRODUCTION Musicians have more robust and efficient neural responses in the cortical and sub-cortical regions, demonstrating that musical experience benefits the processing of both non-linguistic and linguistic stimuli. OBJECTIVE This study aimed to verify P300's latency and amplitude behavioral using contralateral stimulation in musicians and non-musicians. METHODS This was a case-contro...

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