Pervaiz et al., 2016 - Google Patents

Emotion recognition from speech using prosodic and linguistic features

Pervaiz et al., 2016

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Document ID
9193513782522811051
Author
Pervaiz M
Khan T
Publication year
Publication venue
International Journal of Advanced Computer Science and Applications

External Links

Snippet

However, it is pertinent to note that variability in speech signal can make emotion extraction a challenging task. There are a number of factors that indicate presence of emotions. Prosodic and temporal features have been used previously for the purpose of identifying …
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Classifications

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    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/1822Parsing for meaning understanding
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    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
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    • 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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    • G06F17/28Processing or translating of natural language
    • G06F17/2872Rule based translation

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