17: Kognitive Systeme, Vorlesung, SS 2018, 27.06.2018

Autor

Alexander Waibel

Herausgeber

KIT | Webcast

Beteiligtes Institut

Institut für Anthropomatik und Robotik (IAR)

Genre

Vorlesung

Beschreibung

17 |
0:00:00 Start
0:00:05 Speech Recognition
0:00:38 How good is a Recognizer
0:00:53 Dimensions of Difficulty
0:01:11 Speech Recognition (System Overview)
0:03:24 Die Fundamentalformel der Spracherkennung
0:05:07 Markov Models
0:06:06 Discrete Observation HMM
0:07:35 Hidden Markov Models
0:10:01 Acoustic Modeling
0:12:24 HMM Problems And Solutions
0:15:49 Evaluation
0:17:56 The Forward Algorithm
0:24:59 Forward Tellis
0:35:59 The Backward Algorithm
0:36:37 Backward Trellis
0:37:27 HMM Problems And Solutions
0:40:33 Decoding
0:46:35 Viterbi Trellis
0:54:55 Forward-Backward Algorithm
0:57:24 Training HMM Parameters
0:58:46 Baum-Welch Reestimation
1:01:05 HMMs In Speech recognition
1:03:49 Convergence of FB Algorithm
1:04:15 Model Topologies
1:05:28 Forward-Backward Training for Continuous Speech
1:05:46 Discrete HMMs Vector Quantization
1:09:37 Acoustic Modeling
1:12:14 Neural Net Approaches to Pattern Classification
1:14:00 Hidden Markov Models
1:15:14 HMMs in Speech Recognition
1:15:30 Dictionaries
1:16:54 Speech Recognition (System Components)
1:19:10 Language Models
1:23:27 Speech Recognition (Components)

Laufzeit (hh:mm:ss)

01:24:27

Serie

Kognitive Systeme, Vorlesung, SS 2018

Publiziert am

05.07.2018

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz