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Found 6 papers, 1 papers with code
Efficient Compression of Multitask Multilingual Speech Models
Searching for a better compression approach, we propose DistilWhisper, an approach that is able to bridge the performance gap in ASR for these languages while retaining the advantages of multitask and multilingual capabilities.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
But randomly sampling data to be annotated is often inefficient as it ignores the characteristics of the data and the specific needs of the model.
Multilingual DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific Experts
Whisper is a multitask and multilingual speech model covering 99 languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Science and engineering for what? A large-scale analysis of students' projects in science fairs
Science and Engineering fairs offer K-12 students opportunities to engage with authentic STEM practices.
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling
Traditional text classification approaches often require a good amount of labeled data, which is difficult to obtain, especially in restricted domains or less widespread languages.
DEBACER: a method for slicing moderated debates
In this paper, we (i) propose a new algorithm, DEBACER, which partitions moderated debates; (ii) carry out a comparative study between conventional and BERTimbau pipelines; and (iii) validate DEBACER applying it to the minutes of the Assembly of the Republic of Portugal.
