Titlebook: Real-time Speech and Music Classification by LargeAudio Feature Space Extraction; Florian Eyben Book 2016 Springer International Publishin

決絕

書目名稱Real-time Speech and Music Classification by LargeAudio Feature Space Extraction影響因子(影響力)




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遷移

Acoustic Features and Modelling, include all the relevant processing steps from an audio signal to a classification result. These steps include pre-processing and segmentation of the input, feature extraction (i.e., computation of acoustic Low-level Descriptors (LLDs) and summarisation of these descriptors in high level segments), and modelling (e.g., classification).

裂口

Real-time Incremental Processing,ll general methods that are suitable both for on-line and off-line processing. This section deals specifically with the issues encountered in on-line (aka incremental) processing, such as segmentation, constraints on feature extraction, and complexity and run-time constraints.

transient-pain

難管

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Allure

Real-time Speech and Music Classification by LargeAudio Feature Space Extraction978-3-319-27299-3Series ISSN 2190-5053 Series E-ISSN 2190-5061

Pageant

狗舍

Florian EybenNominated as an outstanding thesis.by Technische Universit?t München, Germany.Describes the details and.architecture of openSMILE - the number 1 open-source toolkit in speech emotion.analytics and com

Matrimony

Introduction, automated processing of information beyond the linguistic and semantic content contained in audio recordings (speech and music) is becoming more and more important. This includes automatic detection of emotion, affect, mental and health states, speaker traits such as gender and age, and voice quali