11 citations · 12 across the 7 of their papers we have counts for
12 papers
Searching for fingerspelled content in American Sign Language
Bowen Shi, Diane Brentari, Greg Shakhnarovich +1
Natural language processing for sign language video - including tasks like recognition, translation, and search - is crucial for making artificial intelligence technologies accessi…
Fingerspelling Detection in American Sign Language
Bowen Shi, Diane Brentari, Greg Shakhnarovich +1
Fingerspelling, in which words are signed letter by letter, is an important component of American Sign Language. Most previous work on automatic fingerspelling recognition has assu…
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling
Chieh-Chi Kao, Bowen Shi, Ming Sun +1
This paper proposes a network architecture mainly designed for audio tagging, which can also be used for weakly supervised acoustic event detection (AED). The proposed network cons…
Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
Bowen Shi, Shane Settle, Karen Livescu
Segmental models are sequence prediction models in which scores of hypotheses are based on entire variable-length segments of frames. We consider segmental models for whole-word ("…
A Cross-Task Analysis of Text Span Representations
Shubham Toshniwal, Haoyue Shi, Bowen Shi +3
Many natural language processing (NLP) tasks involve reasoning with textual spans, including question answering, entity recognition, and coreference resolution. While extensive res…
Few-shot acoustic event detection via meta-learning
Bowen Shi, Ming Sun, Krishna C. Puvvada +3
We study few-shot acoustic event detection (AED) in this paper. Few-shot learning enables detection of new events with very limited labeled data. Compared to other research areas l…