International audienceThe study provides an original standpoint of the speech transcription errors by focusing on the morpho-syntactic features of the erroneous chunks and of the surrounding left and right context. The typology concerns the forms, the lemmas and the POS involved in erroneous chunks, and in the surrounding contexts. Comparison with error free contexts are also provided. The study is conducted on French. Morpho-syntactic analysis underlines that three main classes are particularly represented in the erroneous chunks: (i) grammatical words (to, of, the), (ii) auxiliary verbs (has, is), and (iii) modal verbs (should, must). Such items are widely encountered in the ASR outputs as frequent candidates to transcription errors. The ...
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to th...
It is well-known that human listeners significantly outperform machines when it comes to transcribin...
International audienceEvaluating automatic speech recognition (ASR) systems is a classical but diffi...
International audienceThis study explores automatic speech recognition (ASR) errors from a syntax-pr...
International audienceRetrieving the syntactic structure of erroneous ASR transcriptions can be of g...
Retrieving the syntactic structure of erroneous ASR transcriptions can be of great interest for open...
International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation...
International audienceThe aim of our paper is to study the interest of part of speech (POS) tagging ...
Abstract. The aim of our paper is to study the interest of part of speech (POS) tagging to improve s...
International audienceTexts generated by automatic speech recognition (ASR) systems have some specif...
International audienceEvaluating transcriptions from automatic speech recognition (ASR) systems is a...
International audienceThe main aim of this paper is to investigate automatic quality assessment for ...
Diagnosing morphosyntactic errors in a language learner’s utterance can substantially profit from a ...
International audienceIt is widely acknowledged that human listeners significantly outperform machin...
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) ...
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to th...
It is well-known that human listeners significantly outperform machines when it comes to transcribin...
International audienceEvaluating automatic speech recognition (ASR) systems is a classical but diffi...
International audienceThis study explores automatic speech recognition (ASR) errors from a syntax-pr...
International audienceRetrieving the syntactic structure of erroneous ASR transcriptions can be of g...
Retrieving the syntactic structure of erroneous ASR transcriptions can be of great interest for open...
International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation...
International audienceThe aim of our paper is to study the interest of part of speech (POS) tagging ...
Abstract. The aim of our paper is to study the interest of part of speech (POS) tagging to improve s...
International audienceTexts generated by automatic speech recognition (ASR) systems have some specif...
International audienceEvaluating transcriptions from automatic speech recognition (ASR) systems is a...
International audienceThe main aim of this paper is to investigate automatic quality assessment for ...
Diagnosing morphosyntactic errors in a language learner’s utterance can substantially profit from a ...
International audienceIt is widely acknowledged that human listeners significantly outperform machin...
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) ...
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to th...
It is well-known that human listeners significantly outperform machines when it comes to transcribin...
International audienceEvaluating automatic speech recognition (ASR) systems is a classical but diffi...