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Lakshminarayanan et al., 2009 - Google Patents

A syllable-level probabilistic framework for bird species identification

Lakshminarayanan et al., 2009

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Document ID
15244363849655779863
Author
Lakshminarayanan B
Raich R
Fern X
Publication year
Publication venue
2009 International Conference on Machine Learning and Applications

External Links

Snippet

In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregating frame level features within a syllable. We characterize each syllable as a …
Continue reading at www.gatsby.ucl.ac.uk (PDF) (other versions)

Classifications

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    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065Adaptation
    • G10L15/07Adaptation to the speaker
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    • G10L15/18Speech classification or search using natural language modelling
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    • G06K9/6267Classification techniques
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
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    • G10L13/00Speech synthesis; Text to speech systems

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