Improvement of a music identification algorithm for time indexing
نویسندگان
چکیده
In this paper, we propose the improvement of music identification algorithm. We use the fingerprinting algorithm. We research the previous music identification algorithm and found two open sources which are the WILLDREVO-dejavu and the Openfp. We compare the WILLDREVO-dejavu with the Openfp and select the open source of better performance to improve it. The comparison result is that the WILLDREVO-dejavu is better than the Openfp. The selected open source has the high recognition and the time indexing function. It takes a long time to search music. The time indexing function is to find the location of start of the music for the query music sample within 3sec. We improve WILLDREVO-dejavu through verifying DB process and the previous algorithm. In the experiment, we use the number of 25 music contents.
منابع مشابه
Search Problems for Speech and Audio Sequences
The modern proliferation of very large audio and video databases has created a need for effective methods of indexing and searching highly variable or uncertain data. Classical search and indexing algorithms deal with clean input sequences. However, an index created from speech or music transcriptions is marked with errors and uncertainties stemming from the use of imperfect statistical models ...
متن کاملComparison Of Modified Dual Ternary Indexing And Multi-Key Hashing Algorithms For Music Information Retrieval
In this work we have compared two indexing algorithms that have been used to index and retrieve Carnatic music songs. We have compared a modified algorithm of the Dual ternary indexing algorithm for music indexing and retrieval with the multi-key hashing indexing algorithm proposed by us. The modification in the dual ternary algorithm was essential to handle variable length query phrase and to ...
متن کاملکاربرد الگوریتم جداسازی کور منابع در جداسازی سیگنال‌های گفتار و موسیقی
In this paper, the application of the Independent Component Analysis In this paper, the application of the Independent Component Analysis technique in speech-music separation is discussed. The separation algorithm is in the time domain. It needs the score function estimation to minimize the mutual information. For estimating score function, sufficient samples of the mixed (speech-music) signals...
متن کاملComputer Vision for Music Identification: Video Demonstration
This paper describes a demonstration video for our music identification system [5]. The goal of music identification is to reliably recognize a song from a small sample of noisy audio. For instance, a user may wish to identify the music playing on her car radio or in the background at a party. She could send a few seconds of the audio using her mobile phone to a music identification server and ...
متن کاملA Data Focusing method for Microwave Imaging of Extended Targets
This paper presents a data focusing method (DFM) to image extended targets using the multiple signal classification (MUSIC) algorithm. The restriction on the number of transmitter-receiver antennas in a microwave imaging system deteriorates profiling an extended target that comprises many point scatterers. Under such situation, the subspace-based linear inverse scattering methods, like the MUSI...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015