Monaural room acoustic parameters from music and speech
نویسندگان
چکیده
منابع مشابه
Monaural room acoustic parameters from music and speech.
This paper compares two methods for extracting room acoustic parameters from reverberated speech and music. An approach which uses statistical machine learning, previously developed for speech, is extended to work with music. For speech, reverberation time estimations are within a perceptual difference limen of the true value. For music, virtually all early decay time estimations are within a d...
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A new method, employing machine learning techniques and a modified low frequency envelope spectrum estimator, for estimating important room acoustic parameters including Reverberation Time (RT) and Early Decay Time (EDT) from received music signals has been developed. It overcomes drawbacks found in applying music signals directly to the envelope spectrum detector developed for the estimation o...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 2008
ISSN: 0001-4966
DOI: 10.1121/1.2931960