Grundlagen der automatischen Spracherkennung, WS 2015/2016, gehalten am 07.12.2015, Vorlesung 12
Author
Participating institute
Institut für Anthropomatik und Robotik (IAR)
Genre
Description
- 0:00:00 Starten
- 0:01:22 Die Fundamentalformel
- 0:02:47 HMM Definition
- 0:06:01 Die Drei Probleme der HMMs
- 0:11:23 Forward Algorithmus
- 0:23:04 Backward Algorithmus
- 0:27:43 Das Decoding Problem
- 0:33:02 Viterbi-Algorithmus
- 0:36:01 Das Lern-Problem
- 0:46:23 Baum-Welch Regeln
- 0:52:35 Literatur
- 0:54:42 Maximum-Likelihood Methode
- 0:59:20 Expectation Maximization (EM)
- 1:06:13 EM-Expectation Schritt
- 1:09:04 EM- Maximization Schritt
- 1:11:58 EM für Mixtur-Gewichte
Duration (hh:mm:ss)
01:15:05
Series
Grundlagen der Automatischen Spracherkennung, WS 2015/2016
Published on
10.12.2015
Subject area
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 102831 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 908771 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 4505 s |
| Filename | DIVA-2015-943_hd.mp4 |
| File Size | 4.096 byte |
| Frame Rate | 25 |
| Video Bitrate | 799849 bps |
| Video Codec | h264 |
Media URL
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Grundlagen der Automatischen Spracherkennung, WS 2015/2016
Episodes 1-22
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