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Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Related publications (45)

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Locally Testable Codes

Mahdi Cheraghchi Bashi Astaneh

Error correcting codes are combinatorial objects that allow reliable recovery of information in presence of errors by cleverly augmenting the original information with a certain amount of redundancy. The availability of efficient means of error detection i ...

2005

Noisy Text Categorization

Alessandro Vinciarelli

This work presents categorization experiments performed over noisy texts. By noisy it is meant any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g. transcriptions of speech recordings extracted with ...

2005

Application of Information Retrieval Techniques to Single Writer Documents

Alessandro Vinciarelli

This work shows Information Retrieval experiments performed over handwritten documents produced by a single writer. The same retrieval task has been performed over both manual (no errors) and automatic (Word Error Rate around 45%) transcriptions of 200 han ...

2005

Effect of Recognition Errors on Information Retrieval Performance

Alessandro Vinciarelli

This work shows experiments on the retrieval of handwritten documents. The performance of the same state-of-the-art Information Retrieval system is compared when dealing with manual (no errors) and automatic (Word Error Rate around 50%) transcriptions of t ...

IDIAP2004

Effect of Recognition Errors on Information Retrieval Performance

Alessandro Vinciarelli

2004

Noisy Text Clustering

David Grangier, Alessandro Vinciarelli

This work presents document clustering experiments performed over noisy texts (i.e. text that have been extracted through an automatic process like speech or character recognition). The effect of recognition errors on different clustering techniques is mea ...

IDIAP2004

On the Use of Information Retrieval Measures for Speech Recognition Evaluation

Hervé Bourlard, Daniel Gatica-Perez, John David Scott Dines, Darren Moore

This paper discusses the evaluation of automatic speech recognition (ASR) systems developed for practical applications, suggesting a set of criteria for application-oriented performance measures. The commonly used word error rate (WER), which poses ASR eva ...

IDIAP2004

Noisy Text Categorization

Alessandro Vinciarelli

IDIAP2004

Application of Information Retrieval Techniques to Single Writer Documents

Alessandro Vinciarelli

IDIAP2004

An information theoretic measure of sequence recognition performance

Sequence recognition performance is often summarised first in terms of the number of hits (H), substitutions (S), deletions (D) and insertions (I), and then as a single statistic by the "word error rate" WER = 100(S D I)/(H S D). While in common use, WER h ...

IDIAP2002