MLMI
2007
Springer
13 years 11 months ago
2007
Springer
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
A user experiment on multimodal interaction (speech, hand position and hand shapes) to study two major relationships: between the level of cognitive load experienced by users and t...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
Eye gaze and gesture form key conversational grounding cues that are used extensively in face-to-face interaction among people. To accurately recognize visual feedback during inter...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
The PASCAL Speech Separation Challenge (SSC) is based on a corpus of sentences from the Wall Street Journal task read by two speakers simultaneously and captured with two circular ...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Decision making is an important aspect of meetings in organisational settings, and archives of meeting recordings constitute a valuable source of information about the de...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system a...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
MLMI
2007
Springer
13 years 11 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...