09: Kognitive Systeme, Vorlesung, SS 2017, 19.06.2017
Autor
Herausgeber
Beteiligtes Institut
Institut für Anthropomatik und Robotik (IAR)
Genre
Beschreibung
- 0:00:00 Starten
- 0:00:10 HMM Problems And Solutions
- 0:02:34 HMMs In Speech Recognition
- 0:04:42 Model Topologies
- 0:05:49 Forward-Backward Training for Continuous Speech
- 0:06:26 Discrete HHM's Vector Quantization
- 0:08:37 Acoustic Modeling
- 0:12:38 Neural Net Approaches to Pattern Classification
- 0:12:47 Simple NN Vowel Classification
- 0:13:20 HMM-DeepNN Hybrids
- 0:14:24 Deep Neural Net Hybrids
- 0:18:59 Time-Delay Neural Network (TDNN)
- 0:26:51 Reverberation Robust Speech Reco
- 0:27:08 TDNN / CNN - Waibel 1987
- 0:28:53 Conversational Speech
- 0:29:17 Convolutional Nets
- 0:29:46 Convolutional Nets in Image Classification
- 0:30:43 Mastering the Game of Go
- 0:32:04 Speech Recognition (System Components)
- 0:32:50 Dictionaries
- 0:39:06 Language Models: Grammar Based
- 0:40:39 Speech Recognition
- 0:42:16 A Word Guessing Game
- 0:43:00 Bigrams and Trigrams
- 0:44:54 The Bag of Words Experiment
- 0:45:10 Language Models: N-Grams
- 0:46:56 Objective Estimation of Language Model Quality
- 0:55:21 The Perplexity of a Language Model
- 0:59:36 Recurrent Neural Nets
- 1:00:25 Elman Networks - Simple RNN
- 1:01:05 Jordan Networks - Simple RNN
- 1:01:43 Backpropagation Through Time
- 1:02:11 Modeling Sequences with RNN
- 1:02:54 Measuring Recognizer Performance
- 1:04:37 Factors Affecting Recognizer Performance
- 1:04:49 How Good Does it Have to be?
- 1:06:35 Voice Agents
- 1:11:17 Natural Language Processing
- 1:12:11 Machine Translation: Approaches
- 1:15:17 Statistical Machine Translation
- 1:18:47 RNN Encoder - Decoder
- 1:19:42 Neural Machine Translation
- 1:20:37 RNN Encoder-Decoder Architecture
- 1:21:05 Attention Mechanism in the Recurrent Decoder
- 1:21:28 BiRNN Encoder-Decoder with Attention
Laufzeit (hh:mm:ss)
01:24:30
Serie
Kognitive Systeme, Vorlesung, SS 2017
Publiziert am
20.06.2017
Fachgebiet
Lizenz
| Auflösung | 1280 x 720 Pixel |
| Seitenverhältnis | 16:9 |
| Audiobitrate | 109708 bps |
| Audio Kanäle | 2 |
| Audio Codec | aac |
| Audio Abtastrate | 48000 Hz |
| Gesamtbitrate | 915462 bps |
| Farbraum | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Medientyp | video/mp4 |
| Dauer | 5070 s |
| Dateiname | DIVA-2017-349_hd.mp4 |
| Dateigröße | 4.096 byte |
| Bildwiederholfrequenz | 25 |
| Videobitrate | 799659 bps |
| Video Codec | h264 |
Mediathek-URL
Embed-Code
Kognitive Systeme, Vorlesung, SS 2017
Folgen 1-16
von 16
