Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2016/17, 21.11.2016, 10

from Grundlagen der Automatischen Spracherkennung, WS16/17, Vorlesung · host Dr. Sebastian Stüker

10 | 0:00:00 Starten 0:00:20 Stochastik in der Spracherkennung 0:05:24 Die Fundamentalformel 0:10:01 Stochastische ASR Akustisches Modell 0:11:49 Stochastischer Prozess 0:19:33 Makrow-Kette 0:20:42 Makrow-Kette n-ter Ordnung 0:23:22 Makrow-Ketten 1. Ordnung 0:27:37 Beispiele 0:32:10 Hidden Markov Models 0:40:48 Urne Ball Modell 0:42:27 HMM Definition 0:45:25 HMM Beobachtungsgenerierung 0:46:56 Die HMM Trellis 0:48:38 Die Drei Probleme des HMMs 0:52:21 Forward Algorithmus 0:57:17 Backward Algorithmus 1:04:29 Das Decoding Problem 1:07:30 Viterbi-Algorithmus 1:09:37 Das Lern-Problem 1:17:54 Baum-Welch Regeln

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Grundlagen der Automatischen Spracherkennung, Vorlesung, WS 2016/17, 21.11.2016, 10

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