مشاهده مشخصات مقاله
Speaker Clustering Performance Improvement using Eigen-Voice Speaker Adaptation
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نویسنده (ها) |
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M. H. Moattar
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M. M. Homayounpour
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
One of the most important phases of speaker
indexing is speaker clustering which aims to find the
number of speakers in a speech document and merge
the speech segments corresponding to a single speaker.
The most critical source of problem in speaker
clustering is the speech segments duration which may
be so short that proper segment modeling becomes
hard to achieve. An alternative suggestion in these
situations is to adapt global models with new data
instead of building the speaker models from the ground.
In this paper we investigate two adaptation techniques
in eigen-voice space for improving clustering
performance especially for shorter speech utterances.
These techniques were embedded in a clustering
framework and evaluated on a set of domestic
conversational speech. We have also compared the
proposed methods with some other known techniques.
The experiments show a considerable improvement in
speaker clustering performance. |
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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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