Our approach consists in training acoustic models on artificially reverberated speech material. In order to obtain the desired reverberated speech training ...

The paper describes an auditory processing-based feature extraction strategy for robust speech recognition in environments, where conventional automatic speech ...

In this paper, we discuss the use of artificial room reverberation to increase the performance of automatic speech recognition (ASR) systems in reverberant ...

Speech recognition experiments in simulated reverberant environments show that recognizers trained on speech reverberated with the proposed method outperform ...

This paper presents a practical technique for Automatic speech recognition (ASR) in multiple reverberant environment selection. Multiple ASR models are ...

Nov 26, 2017 · Couvreur, and C. Ris, “A corpus-based approach for robust ASR in reverberant environments.” in Proc. of INTER-. SPEECH 2000, pp ...

A corpus-based approach for robust ASR in reverberant environments · L ... A new feature analysis method for robust ASR in reverberant environments based ...

This article proposes a new signal analysis method for au- tomatic speech recognition designed to aim high robust- ness against distortions caused by room ...

Automatic Speech Recognition (ASR) in reverberant rooms can be improved by choosing training data from the same acoustical environment as the test data.

Abstract. This paper presents extended techniques aiming at the improvement of automatic speech recognition (ASR) in single-channel scenarios in the context ...