کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10370352 | 876059 | 2013 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Singing speaker clustering based on subspace learning in the GMM mean supervector space
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Singing speaker clustering based on subspace learning in the GMM mean supervector space Singing speaker clustering based on subspace learning in the GMM mean supervector space](/preview/png/10370352.png)
چکیده انگلیسی
⺠Mixed style speech causes problems when training acoustic models for speech applications, such as speaker ID and ASR. ⺠This study is a first attempt for speaker clustering under mixed speaking styles which include reading and singing. ⺠Two types of subspace learning strategies in the GMM mean supervector space are studied: unsupervised and supervised. ⺠Advanced clustering algorithms are evaluated on a database that includes reading and singing the lyrics for each speaker. ⺠LPP subspace learning and a proposed cluster refining based on PLDA significantly improves clustering accuracies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Speech Communication - Volume 55, Issue 5, June 2013, Pages 653-666
Journal: Speech Communication - Volume 55, Issue 5, June 2013, Pages 653-666
نویسندگان
Mahnoosh Mehrabani, John H.L. Hansen,