E. Allamanche

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Perceptual audio coding is known to deliver high sound quality even at low bit rates for a broad range of audio signals. However, the total delay of the encoder/decoder chain is usually considerably higher than acceptable for two-way communication applications, such as teleconferencing. This paper discusses the primary sources of algorithmic delay in a(More)
Despite the " fuzzy " nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have proven to perform satisfactorily for this task. Since a single feature only captures some selective characteristics of an audio signal, this information may, in some cases, not be(More)
Much interest has recently been received by systems for audio fingerprinting which enable automatic identification of audio content by extracting unique signatures from the signal. Requirements for such systems include robustness to a wide range of signal distortions and availability of fast search methods, even for large fingerprint databases. This paper(More)
Driven by an increasing need for characterizing multimedia material, much research effort has been spent in the field of content-based classification recently. This paper presents a system for automatic identification of audio material from a database of registered works. The system is designed to allow reliable, fast and robust detection of audio material(More)
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