مشاهده مشخصات مقاله
Support Vector Machines for Speaker Based Speech Indexing
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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 |
This paper proposes an integrated framework for
speaker indexing which includes both speaker
segmentation and speaker clustering. Speaker indexing
systems has wide domains of application with different
requirements which make a general speaker indexing
framework hard to accomplish. The main source of
performance degradation in speaker indexing is the
probable existence of short speech utterances which
makes the speaker turns hard to distinguish and also
exposes the segment modeling to data insufficiency.
This paper introduces a speaker indexing framework
with high average performance which uses Support
Vector Machines (SVM) as the core approach. The
main contribution of this framework is the SVM based
clustering approach which makes the indexing more
robust against the short speech segments. This
framework is evaluated on a domestic conversational
speech dataset and the results were satisfactory. |
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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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