29 citations · 79 across the 25 of their papers we have counts for
5 papers · 1 filter
MACE: Leveraging Audio for Evaluating Audio Captioning Systems
Satvik Dixit, Soham Deshmukh, Bhiksha Raj
The Automated Audio Captioning (AAC) task aims to describe an audio signal using natural language. To evaluate machine-generated captions, the metrics should take into account audi…
Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
Soham Deshmukh, Shuo Han, Hazim Bukhari +4
Recent literature uses language to build foundation models for audio. These Audio-Language Models (ALMs) are trained on a vast number of audio-text pairs and show remarkable perfor…
SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios
Hazim Bukhari, Soham Deshmukh, Hira Dhamyal +2
Speech Emotion Recognition (SER) has been traditionally formulated as a classification task. However, emotions are generally a spectrum whose distribution varies from situation to…
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…
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…