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Content-based indexing and retrieval-by-example in audio ...
https://www.researchgate.net/publication/3864135_Content-based_indexing_and_retrieval-by-example_in_audio#:~:text=Abstract%20This%20paper%20presents%20a%20system%20for%20audio,proposed.%20To%20realize%20a%20retrieval%20system%20where%20the
Content-based indexing and retrieval-by-example in audio ...
https://ieeexplore.ieee.org/abstract/document/871499
To realize a retrieval system where the on-line query can be performed efficiently, a new parametric distance metric is used to allow faster identification of the audio segments that are similar to the given query example. Preliminary experimental results show that the proposed new approach can serve as an effective means in content based indexing and retrieval in …
Content-based indexing and retrieval-by-example in audio ...
https://www.researchgate.net/publication/3864135_Content-based_indexing_and_retrieval-by-example_in_audio
This paper presents a system for audio content-based indexing and retrieval-by-example. An unsupervised method to automatically index the audio content is proposed. To realize a …
Content-based indexing and retrieval of audio data using ...
https://ieeexplore.ieee.org/document/871501/
Abstract: This paper proposes a content-based audio information retrieval and indexing technique based on wavelet transforms. The presented approach uses the multiresolution decomposition property of the discrete wavelet transform to analyze audio data. The wavelet decomposition of an audio signal resembles decomposition in sound octaves.
CiteSeerX — Content-Based Audio Indexing and Retrieval: …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.6235
This manuscript provides a brief overview of trends and developments in the area of Content-Based Audio Indexing and Retrieval (CBAIR), during the past few years. Here we explored some limitations and constrains of existing Query By Example (QBE) and Query By Humming (QBH) CBAIR systems.
Content-based retrieval of audio example on MP3 ...
https://www.researchgate.net/publication/4146883_Content-based_retrieval_of_audio_example_on_MP3_compression_domain
This paper presents a system for audio content-based indexing and retrieval-by-example. An unsupervised method to automatically index the audio content is proposed.
Content-Based Audio Retrieval | SR Subramanya and …
https://www.academia.edu/4728827/Content_Based_Audio_Retrieval
Introduction Content-based indexing of audio (and multimedia) data has become more important since conventional databases cannot provide the necessary efficiency and performance [1,2]. However, there are three main difficult problems. First, the content of audio data is subjective information; it is hard to give the descriptions in words.
Features for Content-Based Audio Retrieval
https://publik.tuwien.ac.at/files/PubDat_186351.pdf
The increasing amounts of publicly available audio data demand for efficient indexing and annotation to enable access to the media. Consequently, content-based audio retrieval has been a growing field of research for several decades. Today, content-based audio retrieval systems are employed in manifold appli-
AUDIO CONTENT-BASED MUSIC RETRIEVAL
http://mtg.upf.edu/system/files/publications/2011_MuellerSerra_TutorialProposal-AudioRetrieval_ISMIR.pdf
1. Audio identification. In content-based retrieval, var-ious levels of specificity can be considered. At the highest specificity level, the retrieval task consists in identifying a particular audio recording within a given music collection using a relatively small au-dio fragment as query [1, 4, 5, 18, 13, 36]. This task,
Audio Retrieval by Latent Perceptual Indexing
https://sail.usc.edu/publications/files/SundaramICASSP2008.pdf
Wepresent a query-by-example audio retrieval framework by index-ing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from the clips in the database are grouped into reference clusters using an unsupervised clustering technique. An audio clip-to-cluster matrix is constructed by keep-
MPEG-7 audio-visual indexing test-bed for video …
http://www.ece.mcgill.ca/~bchamp/Papers/Conference/SPIEII2004.pdf
indexing and retrieval of audio-visual documents within the MPEG-7 standard. The project, called "MPEG-7 Audio-Visual Document Indexing System" (MADIS), specifically targets the indexing and retrieval of video shots and key frames from documentary film archives, based on audio-visual content like face recognition, motion activity, speech
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