Search Results for author:
Found 7 papers, 3 papers with code
ntust-nlp-2 at ROCLING-2021 Shared Task: BERT-based semantic analyzer with word-level information
In this paper, we proposed a BERT-based dimensional semantic analyzer, which is designed by incorporating with word-level information.
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision
This work evaluated several cutting-edge large-scale foundation models based on self-supervision or weak supervision, including SeamlessM4T, SeamlessM4T v2, and Whisper-large-v3, on three code-switched corpora.
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
To achieve comprehensive coverage of diverse speech tasks and harness instruction tuning, we invite the community to collaborate and contribute, facilitating the dynamic growth of the benchmark.
HypR: A comprehensive study for ASR hypothesis revising with a reference corpus
In addition, we implement and compare several classic and representative methods, showing the recent research progress in revising speech recognition results.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A context-aware knowledge transferring strategy for CTC-based ASR
Non-autoregressive automatic speech recognition (ASR) modeling has received increasing attention recently because of its fast decoding speed and superior performance.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
In this paper, inspired by the successes of visionlanguage pre-trained models and the benefits from training with adversarial attacks, we present a novel transformerbased cross-modal fusion modeling by incorporating the both notions for VQA challenge 2021.
