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Features for Content-Based Audio Retrieval
https://publik.tuwien.ac.at/files/PubDat_186351.pdf#:~:text=Abstract%20Today%2C%20a%20large%20number%20of%20audio%20features,information%20retrieval%2C%20audio%20segmentation%2C%20and%20environmental%20sound%20retrieval.
A Brief Overview of Audio Information Retrieval
https://ccrma.stanford.edu/~unjung/AIR/KEAMS.pdf
Audio Information Retrieval (AIR): – Audio Information: Speech, Music, Natural sounds, etc. – To develop various methods in order to recognize the audio information Speech? Music? Animal Sound? Clock Alarm?: Audio Human Computer
An overview of audio information retrieval | Multimedia ...
https://dl.acm.org/doi/10.1007/s005300050106
The problem of audio information retrieval is familiar to anyone who has returned from vacation to find ananswering machine full of messages. While there is not yetan "AltaVista" for the audio data type, many workers arefinding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machinelistening. This paper reviews …
An overview of audio information retrieval | SpringerLink
https://link.springer.com/article/10.1007/s005300050106
Abstract. The problem of audio information retrieval is familiar to anyone who has returned from vacation to find an answering machine full of messages. While there is not yet an “AltaVista” for the audio data type, many workers are finding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machine listening.
CiteSeerX — An Overview of Audio Information Retrieval
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.5266
The problem of audio information retrieval is familiar to anyone who has returned from vacation to find an answering machine full of messages. While there is not yet an "AltaVista" for the audio data type, many workers are finding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machine listening.
CiteSeerX — An overview of audio information retrieval
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.5308
The problem of audio information retrieval is familiar to anyone who has returned from vacation to find an answering machine full of messages. While there is not yet an #AltaVista" for the audio data type, manyworkers are #nding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machine listening.
CiteSeerX — An overview of audio information retrieval
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.607
The problem of audio information retrieval is familiar to anyone who has returned from vacation to find an answering machine full of messages. While there is not yet an “AltaVista ” for the audio data type, many workers are finding ways to automatically locate, index, and browse audio using recent advances in speech recognition and machine listening.
An Overview of Audio Information Retrieval, (1999)
https://citeseerx.ist.psu.edu/showciting?cid=9836&start=20
This paper presents an implementation of a content-based music retrieval system that can take a user’s acoustic input (S-second clip of singing or humming) via a microphone and then retrieve the intended song from a database containing over 3000 candidate songs. The system, known as Super MBox, demo ..." Abstract-
An Overview of Audio Information Retrieval, (1999)
https://citeseerx.ist.psu.edu/showciting?cid=9836
Indexing and content-based retrieval are necessary to handle the large amounts of audio and multimedia data that is becoming available on the web and elsewhere. Since manual indexing using existing audio editors is extremely time consuming a number of automatic content analysis systems have been proposed.
Music Information Retrieval - an overview | ScienceDirect ...
https://www.sciencedirect.com/topics/computer-science/music-information-retrieval
One major goal of content-based audio retrieval is the identification of perceptually similar audio content. This task is often trivial for humans due to powerful mechanisms in our brain. The human brain has the ability to distinguish between a wide range of sounds and to correctly assign them to semantic categories and previously heard sounds.
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