4 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
I'll Keep an Ear Out: Teaching AudioLLMs Proactive Audio Assistance
Amit Kumar Singh Yadav, Ritvik Shrivastava, Xuan Zhang +4
Audio large language models (AudioLLMs) operate reactively, responding only when queried. We introduce proactive audio assistance, where an AudioLLM monitors an audio stream and au…
Comparative Analysis of ASR Methods for Speech Deepfake Detection
Davide Salvi, Amit Kumar Singh Yadav, Kratika Bhagtani +3
Recent techniques for speech deepfake detection often rely on pre-trained self-supervised models. These systems, initially developed for Automatic Speech Recognition (ASR), have pr…
Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer
Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani +3
Many deep learning synthetic speech generation tools are readily available. The use of synthetic speech has caused financial fraud, impersonation of people, and misinformation to s…
DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection
Amit Kumar Singh Yadav, Kratika Bhagtani, Ziyue Xiang +3
Tools to generate high quality synthetic speech signal that is perceptually indistinguishable from speech recorded from human speakers are easily available. Several approaches have…