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Zelinka Jan and Trmal Jan and Müller Luděk : Low-dimensional Space Transforms of Posteriors in Speech Recognition . Interspeech 2010, vol. 2010, p. 1193-1196, Curran Associates, Makuhari, Chiba, Japan, 2010.


In this paper we present three novel posterior transforms with the primary goal to achieve a high reduction of a feature vector size. The presented methods transform the posteriors to 1D or 2D space. For such a high reduction ratio the usually applied methods fail to keep the discriminative information. Contrary, the presented methods were specifically designed to retain most of the discriminative information. In our experiments, we used several different combinations of feature extraction methods nowadays commonly used, i.e. the PLP features (augmented with delta and acceleration coefficients) and two kinds of MLP-ANN features: the bottleneck (BN) and posterior estimates (PE). The experiments were designed with special attention to the assessment of possible improvements of the performance when the PLP features are combined either with the BN features or with the PE features whose dimensionality was reduced using the proposed feature transforms. The performance of the designed transforms was tested on two different speech corpora: a telephone speech SpeechDat-East corpus and multi-modal Czech Audio-Visual corpus.

Detail of publication

Title: Low-dimensional Space Transforms of Posteriors in Speech Recognition
Author: Zelinka Jan ; Trmal Jan ; Müller Luděk
Language: English
Year: 2010
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Interspeech 2010
Číslo vydání: 2010
Page: 1193 - 1196
ISBN: 978-1-61782-123-3
Publisher: Curran Associates
Address: Makuhari, Chiba, Japan
Date: 30 Sep 2010
2011-03-15 16:21:58 / 2011-03-15 16:21:58 / 1


speech recognition, posteriors, ANN, bottleneck


 author = {Zelinka Jan and Trmal Jan and M\"{u}ller Lud\v{e}k},
 title = {Low-dimensional Space Transforms of Posteriors in Speech Recognition},
 year = {2010},
 publisher = {Curran Associates},
 journal = {Interspeech 2010},
 address = {Makuhari, Chiba, Japan},
 volume = {2010},
 pages = {1193-1196},
 ISBN = {978-1-61782-123-3},
 url = {},