7 citations · 8 across the 5 of their papers we have counts for
6 papers
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization
Arvind Krishna Sridhar, Erik Visser
Advancement in large pretrained language models has significantly improved their performance for conditional language generation tasks including summarization albeit with hallucina…
Application of Knowledge Distillation to Multi-task Speech Representation Learning
Mine Kerpicci, Van Nguyen, Shuhua Zhang +1
Model architectures such as wav2vec 2.0 and HuBERT have been proposed to learn speech representations from audio waveforms in a self-supervised manner. When they are combined with…
Improving Audio Captioning Using Semantic Similarity Metrics
Rehana Mahfuz, Yinyi Guo, Erik Visser
Audio captioning quality metrics which are typically borrowed from the machine translation and image captioning areas measure the degree of overlap between predicted tokens and gol…
Activity report analysis with automatic single or multispan answer extraction
Ravi Choudhary, Arvind Krishna Sridhar, Erik Visser
In the era of loT (Internet of Things) we are surrounded by a plethora of Al enabled devices that can transcribe images, video, audio, and sensors signals into text descriptions. W…
Multi-task Voice Activated Framework using Self-supervised Learning
Shehzeen Hussain, Van Nguyen, Shuhua Zhang +1
Self-supervised learning methods such as wav2vec 2.0 have shown promising results in learning speech representations from unlabelled and untranscribed speech data that are useful f…
Incremental Learning Algorithm for Sound Event Detection
Eunjeong Koh, Fatemeh Saki, Yinyi Guo +2
This paper presents a new learning strategy for the Sound Event Detection (SED) system to tackle the issues of i) knowledge migration from a pre-trained model to a new target model…