{"id":25878,"date":"2023-01-17T17:55:25","date_gmt":"2023-01-17T16:55:25","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=25878"},"modified":"2023-01-19T18:23:01","modified_gmt":"2023-01-19T17:23:01","slug":"seminaire-thibault-roux","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/seminaire-thibault-roux\/","title":{"rendered":"S\u00e9minaire Thibault Roux"},"content":{"rendered":"

Seminar from Thibault Roux, PhD student at LS2N, cosupervised by LIA and LIUM <\/h2>\n

 <\/p>\n

Date:<\/strong> 20\/01\/2023
\nTime:<\/strong> 10h00
\nLocalization:<\/strong> IC2, Boardroom and on line<\/a>
\nSpeaker:<\/strong> Thibault Roux
\n 
\n <\/p>\n

Evaluation of Language Model Rescoring in Automatic Speech Recognition<\/strong><\/p>\n

 <\/p>\n

Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on the word error rate (WER). However, this metric suffers from many limitations and does not allow an in-depth analysis of automatic transcription errors. <\/p>\n

In this paper, we propose to study and understand the impact of rescoring using language models in ASR systems by means of several metrics often used in other natural language processing (NLP) tasks in addition to the WER. In particular, we introduce two measures related to morpho-syntactic and semantic aspects of transcribed words: 1) the POSER (Part-of-speech Error Rate), which should highlight the grammatical aspects, and 2) the EmbER (Embedding Error Rate), a measurement that modifies the WER by providing a weighting according to the semantic distance of the wrongly transcribed words. These metrics illustrate the linguistic contributions of the language models that are applied during a posterior rescoring step on transcription hypotheses.<\/p><\/div><\/div><\/div><\/div>

 <\/div>
 <\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Seminar from Thibault Roux, PhD student at LS2N, cosupervised by LIA and LIUM   Date: 20\/01\/2023 Time: 10h00 Localization: IC2, Boardroom and on line Speaker: Thibault Roux     Evaluation of Language Model Rescoring in Automatic Speech Recognition   Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which […]<\/p>\n

READ MORE<\/span><\/i><\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":13238,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[43],"tags":[49],"acf":[],"_links":{"self":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/25878"}],"collection":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/comments?post=25878"}],"version-history":[{"count":0,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/25878\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media\/13238"}],"wp:attachment":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media?parent=25878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/categories?post=25878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/tags?post=25878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}