activity
20232026
most citedDPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.SD2026

AFA-Net: A Differential Attention Approach for Auditory Attention Detection

Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar +1

Auditory Attention Detection (AAD) utilizes electroencephalographic (EEG) signals to identify a target speaker in a multi-speaker environment. Despite considerable progress, existi…

eess.AS2026

VoiceDesigner: Text-to-Voice Generation and Editing via Unified Diffusion Modeling and Data Augmentation

Jiarui Hai, Karan Thakkar, Ke Chen +5

Recent breakthroughs in generative models have made text-to-voice generation (TTV) possible, enabling the synthesis of speech directly from textual voice descriptions. However, exi…

cs.SD2026

DECAF: Dynamic Envelope Context-Aware Fusion for Speech-Envelope Reconstruction from EEG

Karan Thakkar, Mounya Elhilali

Reconstructing the speech audio envelope from scalp neural recordings (EEG) is a central task for decoding a listener's attentional focus in applications like neuro-steered hearing…

cs.LG2025

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition

Ilker Demirel, Karan Thakkar, Benjamin Elizalde +7

Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show…

eess.AS2025

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech

Helin Wang, Jiarui Hai, Dading Chong +11

Recent advancements in generative artificial intelligence have significantly transformed the field of style-captioned text-to-speech synthesis (CapTTS). However, adapting CapTTS to…

cs.SD2025

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation

Jingping Nie, Dung T. Tran, Karan Thakkar +5

Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation mod…

eess.AS2024

SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer

Helin Wang, Jiarui Hai, Yen-Ju Lu +3

In this paper, we introduce SoloAudio, a novel diffusion-based generative model for target sound extraction (TSE). Our approach trains latent diffusion models on audio, replacing t…

eess.AS2024

DreamVoice: Text-Guided Voice Conversion

Jiarui Hai, Karan Thakkar, Helin Wang +2

Generative voice technologies are rapidly evolving, offering opportunities for more personalized and inclusive experiences. Traditional one-shot voice conversion (VC) requires a ta…

cs.SD2023

Investigating Self-Supervised Deep Representations for EEG-based Auditory Attention Decoding

Karan Thakkar, Jiarui Hai, Mounya Elhilali

Auditory Attention Decoding (AAD) algorithms play a crucial role in isolating desired sound sources within challenging acoustic environments directly from brain activity. Although…

eess.AS2023★ 1 cited

DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction

Jiarui Hai, Helin Wang, Dongchao Yang +3

Common target sound extraction (TSE) approaches primarily relied on discriminative approaches in order to separate the target sound while minimizing interference from the unwanted…

cs.CL2023

Stress Testing Chain-of-Thought Prompting for Large Language Models

Aayush Mishra, Karan Thakkar

This report examines the effectiveness of Chain-of-Thought (CoT) prompting in improving the multi-step reasoning abilities of large language models (LLMs). Inspired by previous stu…