10.1109/ICDE.2006.79Proceedings - International Conference on Data Engineering2006169
A new singer identification system is presented in this thesis. The system is based on the idea of u...
Cover song identification is a field of music information retrieval where the task is to determine w...
This paper focuses on cover song identification among datasets potentially containing millions of so...
Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Developmen...
Over the past decade, there has been explosive growth in the availability of multimedia data, partic...
We propose a novel method to identify the singer of a query song from the audio database. The databa...
We investigate fully automatic recognition of singer traits, i. e., gender, age, height and ‘race ’ ...
Trained human listeners show a remarkable ability to identify singers from their voices alone even i...
In the music world, the oldest instrument is known as the singing voice that plays an important role...
This paper presents an effective technique for automatically clustering undocumented music recording...
Music identification eases information anxiety by bypassing text-based input or search efforts of th...
In this paper, the problem of the automatic identification of a singer is investigated using methods...
Human voice recognition is a crucial task in music information retrieval. In this master thesis we d...
[[abstract]]This paper presents an implementation of a content-based music retrieval system that can...
Abstract—In this paper, the problem of the automatic identification of a singer is investigated usin...
A new singer identification system is presented in this thesis. The system is based on the idea of u...
Cover song identification is a field of music information retrieval where the task is to determine w...
This paper focuses on cover song identification among datasets potentially containing millions of so...
Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Developmen...
Over the past decade, there has been explosive growth in the availability of multimedia data, partic...
We propose a novel method to identify the singer of a query song from the audio database. The databa...
We investigate fully automatic recognition of singer traits, i. e., gender, age, height and ‘race ’ ...
Trained human listeners show a remarkable ability to identify singers from their voices alone even i...
In the music world, the oldest instrument is known as the singing voice that plays an important role...
This paper presents an effective technique for automatically clustering undocumented music recording...
Music identification eases information anxiety by bypassing text-based input or search efforts of th...
In this paper, the problem of the automatic identification of a singer is investigated using methods...
Human voice recognition is a crucial task in music information retrieval. In this master thesis we d...
[[abstract]]This paper presents an implementation of a content-based music retrieval system that can...
Abstract—In this paper, the problem of the automatic identification of a singer is investigated usin...
A new singer identification system is presented in this thesis. The system is based on the idea of u...
Cover song identification is a field of music information retrieval where the task is to determine w...
This paper focuses on cover song identification among datasets potentially containing millions of so...
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