Irascible 发表于 2025-3-23 10:03:04

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pulmonary-edema 发表于 2025-3-23 16:21:44

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被诅咒的人 发表于 2025-3-23 21:42:50

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cipher 发表于 2025-3-23 22:14:30

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FUME 发表于 2025-3-24 03:18:50

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BOON 发表于 2025-3-24 07:18:53

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encomiast 发表于 2025-3-24 11:55:42

Standard Baseline Feature Sets,NTERSPEECH challenges on Emotion and Paralinguistics form 2009–2013 (ComParE) as well as the Audio-Visual Emotion Challenges (2011–2013). Further, two sets for music processing and two minimalistic speech parameter sets (GeMAPS and eGeMAPS) are proposed.

肉体 发表于 2025-3-24 17:57:17

Real-Life Robustness, research voice analytics, or health monitoring for stress and depression. This chapter discusses methods for pre-processing speech robustly and for enhancing audio classification algorithms in degraded acoustic conditions.

土产 发表于 2025-3-24 20:01:47

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随意 发表于 2025-3-25 00:12:04

2190-5053 er 1 open-source toolkit in speech emotion.analytics and com.This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music.  Itdefines several standard acoustic parameter sets and describes theirimplemen
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查看完整版本: Titlebook: Real-time Speech and Music Classification by LargeAudio Feature Space Extraction; Florian Eyben Book 2016 Springer International Publishin