مشاهده مشخصات مقاله
Robust speaker identification based on filtering and spectral peaks in autocorrelation domain
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نویسنده (ها) |
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Amir Hossein Hadjahmadi
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Mohammad Mehdi Homayounpour
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Gholamreza Farahani
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Seyed Mohammad Ahadi
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Noise robustness in speaker recognition has attracted a great deal of interest. This paper describes a novel technique for
noise robust Speaker Identification. In this technique, initially, the speech autocorrelation sequence is computed and
then, the effect of noise is suppressed using a high pass filter in autocorrelation domain. Finally, the speech feature set is
found using the spectral peaks of this filtered autocorrelation sequence. These Features are robust for speech recognition
task. In this paper we applied them to speaker identification task and found that this features are more robust than
MFCC features. For example in a test of Farsdat speech database, after 10dB corruption of speech signal using babble
noise, it was observed that these features decrease the error rate for more than 22%. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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