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Confusion Matrix Based Entropy Correction in Multi-stream Combination

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Comparison of different chaos shift keying methods

Martin Hasler, Thomas Schimming

This paper examines a number of chaos shift keying methods Different approaches for the optimization of the transmitter and the receiver (based on statistical arguments) are compared through simulation. Based on the results, The tradeoff between computatio ...

2001

Multi-stream adaptive evidence combination for noise robust ASR

Hervé Bourlard, Astrid Hagen

In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoa ...

IDIAP1999

Different Weighting Schemes in the Full Combination Subbands Approach for Noise Robust ASR

Hervé Bourlard, Astrid Hagen

In this paper, we present and investigate a new method for subband-based Automatic Speech Recognition (ASR) which approximates the ideal full combination' approach which is itself often not practical to realize. The full combination' approach consists of ...

1999

Latent variable decomposition for posteriors or likelihood based subband ASR

Latent variable decomposition permits factorisation of posterior probability based, or likelihood based, speech unit discriminant functions into a composition of simpler functions which can be analysed separately and evaluated more accurately in the presen ...

IDIAP1999

Subband-Based Speech Recognition in Noisy Conditions: The Full Combination Approach

Hervé Bourlard, Astrid Hagen

In this report, we investigate and compare different subband-based Automatic Speech Recognition (ASR) approaches, including an original approach, referred to as the ``full combination approach'', based on an estimate of the (noise-) weighted sum of posteri ...

IDIAP1998

Combining Linear Dichomotizers to Construct Nonlinear Polychotomizers

A polychotomizer which assigns the input to one of

K, K \ge 3

, is constructed using a set of dichotomizers which assign the input to one of two classes. We propose techniques to construct a set of linear dichotomizers whose combined decision forms a nonl ...

IDIAP1998

An RBF Network that Learns Some Aspects of Perceptual Organization

This paper describes a simple Radial Basis Function network (RBF network) that captures some of the higher order statistical properties important for certain kinds of perceptual organization. Data is presented that demonstrates that the proposed RBF networ ...

IDIAP1993

Combining Linear Dichomotizers to Construct Nonlinear Polychotomizers

A polychotomizer which assigns the input to one of

K, K \ge 3

, is constructed using a set of dichotomizers which assign the input to one of two classes. We propose techniques to construct a set of linear dichotomizers whose combined decision forms a nonl ...

IDIAP1998