Robust multi-stream keyword and non-linguistic vocalization detection for computationally intelligent virtual agents
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Lecture Notes in Computer Science, 6676, S. 496-505
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2011
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Springer
- (wann)
-
2011
- Urheber
- DOI
-
10.1007/978-3-642-21090-7_58
- URN
-
urn:nbn:de:bvb:384-opus4-760048
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Wöllmer, Martin
- Marchi, Erik
- Squartini, Stefano
- Schuller, Björn
- Universität Augsburg
- Springer
Entstanden
- 2011
Ähnliche Objekte (12)
Context-sensitive machine learning for intelligent human behavior analysis
Multi-stream LSTM-HMM decoding and histogram equalization for noise robust keyword spotting
Improving keyword spotting with a tandem BLSTM-DBN architecture
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
Robust vocabulary independent keyword spotting with graphical models
Context-Sensitive Machine Learning for Intelligent Human Behavior Analysis
Enhancing spontaneous speech recognition with BLSTM features
Switching linear dynamic models for recognition of emotionally colored and noisy speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues
Acoustic-linguistic recognition of interest in speech with bottleneck-BLSTM nets
Context-sensitive machine learning for intelligent human behavior analysis
Multi-stream LSTM-HMM decoding and histogram equalization for noise robust keyword spotting
Improving keyword spotting with a tandem BLSTM-DBN architecture
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
Robust vocabulary independent keyword spotting with graphical models
Context-Sensitive Machine Learning for Intelligent Human Behavior Analysis
Enhancing spontaneous speech recognition with BLSTM features
Switching linear dynamic models for recognition of emotionally colored and noisy speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues
Acoustic-linguistic recognition of interest in speech with bottleneck-BLSTM nets
Context-sensitive machine learning for intelligent human behavior analysis
Multi-stream LSTM-HMM decoding and histogram equalization for noise robust keyword spotting
Improving keyword spotting with a tandem BLSTM-DBN architecture
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
Robust vocabulary independent keyword spotting with graphical models
Context-Sensitive Machine Learning for Intelligent Human Behavior Analysis
Enhancing spontaneous speech recognition with BLSTM features
Switching linear dynamic models for recognition of emotionally colored and noisy speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues