Titlebook: Statistical Language and Speech Processing; 9th International Co Luis Espinosa-Anke,Carlos Martín-Vide,Irena Spasić Conference proceedings

次要

书目名称Statistical Language and Speech Processing影响因子(影响力)




书目名称Statistical Language and Speech Processing影响因子(影响力)学科排名




书目名称Statistical Language and Speech Processing网络公开度




书目名称Statistical Language and Speech Processing网络公开度学科排名




书目名称Statistical Language and Speech Processing被引频次




书目名称Statistical Language and Speech Processing被引频次学科排名




书目名称Statistical Language and Speech Processing年度引用




书目名称Statistical Language and Speech Processing年度引用学科排名




书目名称Statistical Language and Speech Processing读者反馈




书目名称Statistical Language and Speech Processing读者反馈学科排名

inflame

https://doi.org/10.1007/978-3-030-89579-2artificial intelligence; computational linguistics; computer science; computer systems; computer vision;

能得到

978-3-030-89578-5Springer Nature Switzerland AG 2021

gruelling

拱墙

Conference proceedings 2021K, in November 2021..The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing..

Retrieval

Improving German Image Captions Using Machine Translation and Transfer Learning30K dataset. One of these methods uses an alternative attention mechanism from the literature that showed a good performance in English image captioning. We compare the performance of all methods for the Multi30K test set in German using common automatic evaluation metrics. We show that our advanced

collateral

弯曲的人

Constructing Sentiment Lexicon with Game for Annotation Collectionmanually annotated dataset of mobile phone reviews. The same was done with other existing lexicons for comparison. The results of our experiments show that collecting annotations using our game can be useful as a method for constructing a sentiment lexicon.

arousal

Use of Speaker Metadata for Improving Automatic Pronunciation Assessmenttion was used to detect pronunciation errors in short speech segments. It was found that the use of categorical metadata can have a positive effect in the classification of mispronounced segments depending on the sparsity and balance of the classes. It was also found that different assessors can be

多骨

Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptationdomain produced WERs 31.27% and 44.69% on dev and test sets, respectively. By introducing the techniques outlined above, the WERs are reduced to 26.82% and 39.21% respectively. The improved transcripts increased mean reciprocal rank (MRR) results for the SCR task from 15.59% to 39.38% on dev and 20.