International audienceThis study explores automatic speech recognition (ASR) errors from a syntax-prosody mapping perspective. Our contribution is threefold: we propose (i) an ASR error study according to French syntactic structures, (ii) a quantitative evaluation of the syntax-prosody mapping in reference transcriptions (iii) a qualitative analysis of syntax-prosody mapping violations in ASR transcriptions. Results show that some morphosyntactic and syntactic components are particularly prone to transcription errors such as proper names or verbal nuclei. In addition, we found that transcription errors in the ASR hypothesis may violate the syntactic-prosodic mapping rules. Such conflicting patterns may be used as clues to automatically dete...
Automatic speech recognition (ASR) of non-native utterances with grammatical errors is problematic. ...
International audienceThe aim of the paper is to study the interest of part-of-speech (POS) tagging ...
International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation...
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 audienceThe study provides an original standpoint of the speech transcription errors b...
International audienceTexts generated by automatic speech recognition (ASR) systems have some specif...
International audienceIt is well-known that human listeners significantly outperform machines when i...
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to th...
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...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
International audienceThe main aim of this paper is to investigate automatic quality assessment for ...
It is well-known that human listeners significantly outperform machines when it comes to transcribin...
Automatic speech recognition (ASR) of non-native utterances with grammatical errors is problematic. ...
International audienceThe aim of the paper is to study the interest of part-of-speech (POS) tagging ...
International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation...
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 audienceThe study provides an original standpoint of the speech transcription errors b...
International audienceTexts generated by automatic speech recognition (ASR) systems have some specif...
International audienceIt is well-known that human listeners significantly outperform machines when i...
Texts generated by automatic speech recognition (ASR) systems have some specificities, related to th...
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...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
International audienceThe main aim of this paper is to investigate automatic quality assessment for ...
It is well-known that human listeners significantly outperform machines when it comes to transcribin...
Automatic speech recognition (ASR) of non-native utterances with grammatical errors is problematic. ...
International audienceThe aim of the paper is to study the interest of part-of-speech (POS) tagging ...
International audienceMany automatic speech recognition (ASR) systems rely on the sole pronunciation...