4 citations · 9 across the 14 of their papers we have counts for
4 papers · 1 filter
Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?
Roshan Sharma, Suwon Shon, Mark Lindsey +3
Reference summaries for abstractive speech summarization require human annotation, which can be performed by listening to an audio recording or by reading textual transcripts of th…
Domain Adaptation for Contrastive Audio-Language Models
Soham Deshmukh, Rita Singh, Bhiksha Raj
Audio-Language Models (ALM) aim to be general-purpose audio models by providing zero-shot capabilities at test time. The zero-shot performance of ALM improves by using suitable tex…
A General Framework for Learning from Weak Supervision
Hao Chen, Jindong Wang, Lei Feng +6
Weakly supervised learning generally faces challenges in applicability to various scenarios with diverse weak supervision and in scalability due to the complexity of existing algor…
PAM: Prompting Audio-Language Models for Audio Quality Assessment
Soham Deshmukh, Dareen Alharthi, Benjamin Elizalde +5
While audio quality is a key performance metric for various audio processing tasks, including generative modeling, its objective measurement remains a challenge. Audio-Language Mod…