Soham Deshmukh

According to our database1, Soham Deshmukh authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Domain Adaptation for Contrastive Audio-Language Models.
CoRR, 2024

PAM: Prompting Audio-Language Models for Audio Quality Assessment.
CoRR, 2024

2023
LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model.
CoRR, 2023

Prompting Audios Using Acoustic Properties For Emotion Representation.
CoRR, 2023

Training Audio Captioning Models without Audio.
CoRR, 2023

Natural Language Supervision for General-Purpose Audio Representations.
CoRR, 2023

Synergy between human and machine approaches to sound/scene recognition and processing: An overview of ICASSP special session.
CoRR, 2023

Pengi: An Audio Language Model for Audio Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-View Learning for Speech Emotion Recognition with Categorical Emotion, Categorical Sentiment, and Dimensional Scores.
Proceedings of the IEEE International Conference on Acoustics, 2023

CLAP Learning Audio Concepts from Natural Language Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Describing emotions with acoustic property prompts for speech emotion recognition.
CoRR, 2022

Audio Retrieval with WavText5K and CLAP Training.
CoRR, 2022

Adapting Task-Oriented Dialogue Models for Email Conversations.
CoRR, 2022

2021
NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback.
CoRR, 2021

Improving Weakly Supervised Sound Event Detection with Self-Supervised Auxiliary Tasks.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Detection of Covid-19 Through the Analysis of Vocal Fold Oscillations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Interpreting Glottal Flow Dynamics for Detecting Covid-19 From Voice.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection.
CoRR, 2020

2019
Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models.
CoRR, 2019


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