activity
20162024
most citedSeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

632 citations · 2k across the 38 of their papers we have counts for

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11 papers · 1 filter

eess.AS2024

Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection

Jinhua Liang, Ines Nolasco, Burooj Ghani +3

Detecting the presence of animal vocalisations in nature is essential to study animal populations and their behaviors. A recent development in the field is the introduction of the…

eess.AS2024

WavCraft: Audio Editing and Generation with Large Language Models

Jinhua Liang, Huan Zhang, Haohe Liu +7

We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing. Specifically,…

eess.AS2023★ 8 cited

Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities

Jinhua Liang, Xubo Liu, Wenwu Wang +3

The auditory system plays a substantial role in shaping the overall human perceptual experience. While prevailing large language models (LLMs) and visual language models (VLMs) hav…

eess.AS2023

Adapting Language-Audio Models as Few-Shot Audio Learners

Jinhua Liang, Xubo Liu, Haohe Liu +4

We presented the Treff adapter, a training-efficient adapter for CLAP, to boost zero-shot classification performance by making use of a small set of labelled data. Specifically, we…

eess.AS2023★ 2 cited

cross-modal fusion techniques for utterance-level emotion recognition from text and speech

Jiachen Luo, Huy Phan, Joshua Reiss

Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different moda…

eess.AS2022

Improving trajectory localization accuracy via direction-of-arrival derivative estimation

Ruchi Pandey, Shreyas Jaiswal, Huy Phan +1

Sound source localization is crucial in acoustic sensing and monitoring-related applications. In this paper, we do a comprehensive analysis of improvement in sound source localizat…

eess.AS2022

Polyphonic audio event detection: multi-label or multi-class multi-task classification problem?

Huy Phan, Thi Ngoc Tho Nguyen, Philipp Koch +1

Polyphonic events are the main error source of audio event detection (AED) systems. In deep-learning context, the most common approach to deal with event overlaps is to treat the A…

eess.AS2021★ 39 cited

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

Thi Ngoc Tho Nguyen, Douglas L. Jones, Karn N. Watcharasupat +2

Polyphonic sound event localization and detection (SELD) has many practical applications in acoustic sensing and monitoring. However, the development of real-time SELD has been lim…

eess.AS2020★ 6 cited

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network

Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen, Huy Phan +4

Polyphonic sound event detection and localization (SELD) task is challenging because it is difficult to jointly optimize sound event detection (SED) and direction-of-arrival (DOA)…

eess.AS2020★ 16 cited

On Multitask Loss Function for Audio Event Detection and Localization

Huy Phan, Lam Pham, Philipp Koch +3

Audio event localization and detection (SELD) have been commonly tackled using multitask models. Such a model usually consists of a multi-label event classification branch with sig…

eess.AS2020

Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification

Lam Pham, Ian McLoughlin, Huy Phan +2

In this work, we propose an approach that features deep feature embedding learning and hierarchical classification with triplet loss function for Acoustic Scene Classification (ASC…