A novel approach to retrieve video song using continuty of audio segments from Bollywood movies

Ratanpara, Tushar V.; Bhatt, Malay

doi:10.1049/cp.2013.2576

Cited by 3 publications

(4 citation statements)

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“…Ratanpara, M. Bhatt [2] has used Intensity as the major discriminator feature after the segmentation process. But using only intensity did not give correct result and hence they have used tempo and silence as well to remove the faulty detection of songs.…”

Section: Song Extraction From Moviesmentioning

confidence: 99%

“…The revenue generated by the music and songs of a movie is around 4-5% of the total. [2] The importance of film music and songs can be realized as well fro m the fact that 48% of India's music sales are from film music. [3] Extraction of songs from movies can be beneficial for differ users like producers, dancers, singers or CD/cassette seller.…”

Section: Introductionmentioning

confidence: 99%

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A Review on Audio Features Based Extraction of Songs From Movies

2015

IJAERD

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A movie is a collection of different portions like comedy scenes, action, dialogs and songs. Extraction of a selected portion such as songs is a complex task. Basic three approaches namely visual based, text based and audio based are used by authors over the time for video content classification. This paper indicates that audio based approach is most suitable for extraction of songs. Audio based approach utilizes various audio features which can differentiate songs and non-songs as mentioned here. Different combinations of these features have been used by researchers from which a generic model is derived that can become the base for songs extraction application.

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Section: Song Extraction From Moviesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review on Audio Features Based Extraction of Songs From Movies

2015

IJAERD

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“…Viewer can upload/ download video songs from internet and CD/DVDs. Indian video songs (IVS) can be extracted from Indian movies [1,2] which increases collections rapidly. Indexing of such IVS requires information in a different dimension like playback singer of IVS and on-screen actor/actress performing on IVS.…”

Section: Introductionmentioning

confidence: 99%

“…Textual caption is highly unreliable because IVS is uploaded by ordinary user. So viewer requires powerful functions for browsing [2,3], searching [4], and indexing video content. Singing voice is one of the most important parameters in Indian video songs.…”

Section: Introductionmentioning

confidence: 99%

Singer identification using perceptual features and cepstral coefficients of an audio signal from Indian video songs

Ratanpara

Patel²

2015

J AUDIO SPEECH MUSIC PROC.

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Singer identification is a difficult topic in music information retrieval because background instrumental music is included with singing voice which reduces performance of a system. One of the main disadvantages of the existing system is vocals and instrumental are separated manually and only vocals are used to build training model. The research presented in this paper automatically recognize a singer without separating instrumental and singing sounds using audio features like timbre coefficients, pitch class, mel frequency cepstral coefficients (MFCC), linear predictive coding (LPC) coefficients, and loudness of an audio signal from Indian video songs (IVS). Initially, various IVS of distinct playback singers (PS) are collected. After that, 53 audio features (12 dimensional timbre audio feature vectors, 12 pitch classes, 13 MFCC coefficients, 13 LPC coefficients, and 3 loudness feature vector of an audio signal) are extracted from each segment. Dimension of extracted audio features is reduced using principal component analysis (PCA) method. Playback singer model (PSM) is trained using multiclass classification algorithms like back propagation, AdaBoost.M2, k-nearest neighbor (KNN) algorithm, naïve Bayes classifier (NBC), and Gaussian mixture model (GMM). The proposed approach is tested on various combinations of dataset and different combinations of audio feature vectors with various Indian male and female PS's songs.

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