b'Qiuqiang Kong'

research

∙ 05/18/2023

a unified front-end framework for english text-to-speech synthesis

The front-end is a critical component of English text-to-speech (TTS) sy...

0 Zelin Ying, et al. ∙

research

∙ 05/11/2023

Universal Source Separation with Weakly Labelled Data

Universal source separation (USS) is a fundamental research task for com...

0 Qiuqiang Kong, et al. ∙

research

∙ 03/30/2023

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

The advancement of audio-language (AL) multimodal learning tasks has bee...

0 Xinhao Mei, et al. ∙

research

∙ 02/01/2023

Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training

In this paper, we introduce Jointist, an instrument-aware multi-instrume...

0 Kin Wai Cheuk, et al. ∙

research

∙ 11/22/2022

Ontology-aware Learning and Evaluation for Audio Tagging

This study defines a new evaluation metric for audio tagging tasks to ov...

0 Haohe Liu, et al. ∙

research

∙ 11/04/2022

Binaural Rendering of Ambisonic Signals by Neural Networks

Binaural rendering of ambisonic signals is of broad interest to virtual ...

0 Yin Zhu, et al. ∙

research

∙ 10/28/2022

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention

Audio captioning is the task of generating captions that describe the co...

0 Xubo Liu, et al. ∙

research

∙ 10/22/2022

Neural Sound Field Decomposition with Super-resolution of Sound Direction

Sound field decomposition predicts waveforms in arbitrary directions usi...

0 Qiuqiang Kong, et al. ∙

research

∙ 10/04/2022

Learning the Spectrogram Temporal Resolution for Audio Classification

The audio spectrogram is a time-frequency representation that has been w...

16 Haohe Liu, et al. ∙

research

∙ 10/03/2022

Simple Pooling Front-ends For Efficient Audio Classification

Recently, there has been increasing interest in building efficient audio...

19 Xubo Liu, et al. ∙

research

∙ 09/05/2022

Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains

Sound event localization and detection (SELD) is a joint task of sound e...

0 Jinbo Hu, et al. ∙

research

∙ 07/21/2022

Surrey System for DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection with Segment-level Metric Learning

Few-shot audio event detection is a task that detects the occurrence tim...

0 Haohe Liu, et al. ∙

research

∙ 07/15/2022

Segment-level Metric Learning for Few-shot Bioacoustic Event Detection

Few-shot bioacoustic event detection is a task that detects the occurren...

10 Haohe Liu, et al. ∙

research

∙ 06/22/2022

Jointist: Joint Learning for Multi-instrument Transcription and Its Applications

In this paper, we introduce Jointist, an instrument-aware multi-instrume...

5 Kin Wai Cheuk, et al. ∙

research

∙ 04/12/2022

VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration

Speech restoration aims to remove distortions in speech signals. Prior m...

0 Haohe Liu, et al. ∙

research

∙ 03/28/2022

Separate What You Describe: Language-Queried Audio Source Separation

In this paper, we introduce the task of language-queried audio source se...

4 Xubo Liu, et al. ∙

research

∙ 03/28/2022

Neural Vocoder is All You Need for Speech Super-resolution

Speech super-resolution (SR) is a task to increase speech sampling rate ...

8 Haohe Liu, et al. ∙

research

∙ 03/19/2022

A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection

Polyphonic sound event localization and detection (SELD) aims at detecti...

0 Jinbo Hu, et al. ∙

research

∙ 12/09/2021

CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet

Music source separation (MSS) shows active progress with deep learning m...

0 Haohe Liu, et al. ∙

research

∙ 09/28/2021

VoiceFixer: Toward General Speech Restoration with Neural Vocoder

Speech restoration aims to remove distortions in speech signals. Prior m...

0 Haohe Liu, et al. ∙

research

∙ 09/12/2021

Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation

Deep neural network based methods have been successfully applied to musi...

0 Qiuqiang Kong, et al. ∙

research

∙ 08/07/2021

A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis

We propose a unified model for three inter-related tasks: 1) to separate...

0 Liwei Lin, et al. ∙

research

∙ 04/02/2021

An Audio-Based Deep Learning Framework ForBBC Television Programme Classification

This paper proposes a deep learning framework for classification of BBC ...

0 Lam Pham, et al. ∙

research

∙ 03/30/2021

Time-domain Speech Enhancement with Generative Adversarial Learning

Speech enhancement aims to obtain speech signals with high intelligibili...

0 Feiyang Xiao, et al. ∙

research

∙ 02/19/2021

Speech enhancement with weakly labelled data from AudioSet

Speech enhancement is a task to improve the intelligibility and perceptu...

0 Qiuqiang Kong, et al. ∙

research

∙ 02/19/2021

CatNet: music source separation system with mix-audio augmentation

Music source separation (MSS) is the task of separating a music piece in...

1 Xuchen Song, et al. ∙

research

∙ 11/18/2020

CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification

Acoustic Scene Classification (ASC) aims to classify the environment in ...

0 Zhao Ren, et al. ∙

research

∙ 10/28/2020

Large-Scale MIDI-based Composer Classification

Music classification is a task to classify a music piece into labels suc...

0 Qiuqiang Kong, et al. ∙

research

∙ 10/25/2020

An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

Polyphonic sound event localization and detection (SELD), which jointly ...

0 Yin Cao, et al. ∙

research

∙ 10/11/2020

GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music

Symbolic music datasets are important for music information retrieval an...

0 Qiuqiang Kong, et al. ∙

research

∙ 10/05/2020

High-resolution Piano Transcription with Pedals by Regressing Onsets and Offsets Times

Automatic music transcription (AMT) is the task of transcribing audio re...

2 Qiuqiang Kong, et al. ∙

research

∙ 09/30/2020

Event-Independent Network for Polyphonic Sound Event Localization and Detection

Polyphonic sound event localization and detection is not only detecting ...

0 Yin Cao, et al. ∙

research

∙ 07/25/2020

DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification

This paper presents a Depthwise Disout Convolutional Neural Network (DD-...

0 Jingqiao Zhao, et al. ∙

research

∙ 07/16/2020

Audio Tagging by Cross Filtering Noisy Labels

High quality labeled datasets have allowed deep learning to achieve impr...

0 Boqing Zhu, et al. ∙

research

∙ 02/11/2020

Learning with Out-of-Distribution Data for Audio Classification

In supervised machine learning, the assumption that training data is lab...

0 Turab Iqbal, et al. ∙

research

∙ 02/06/2020

Source separation with weakly labelled data: An approach to computational auditory scene analysis

Source separation is the task to separate an audio recording into indivi...

1 Qiuqiang Kong, et al. ∙

research

∙ 12/21/2019

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Audio pattern recognition is an important research topic in the machine ...

0 Qiuqiang Kong, et al. ∙

research

∙ 12/10/2019

Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization

Sound event detection (SED) is a task to detect sound events in an audio...

0 Qiuqiang Kong, et al. ∙

research

∙ 07/03/2019

Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances

The availability of large-scale household energy consumption datasets bo...

0 Jie Jiang, et al. ∙

research

∙ 06/14/2019

Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks

Single-channel signal separation and deconvolution aims to separate and ...

6 Qiuqiang Kong, et al. ∙

research

∙ 05/01/2019

Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy

Sound event detection (SED) and localization refer to recognizing sound ...

0 Yin Cao, et al. ∙

research

∙ 04/27/2019

Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering

Sound event detection (SED) methods typically rely on either strongly la...

0 Yuanbo Hou, et al. ∙

research

∙ 04/11/2019

Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems

The Detection and Classification of Acoustic Scenes and Events (DCASE) 2...

0 Qiuqiang Kong, et al. ∙

research

∙ 04/06/2019

Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems

The Detection and Classification of Acoustic Scenes and Events (DCASE) 2...

0 Qiuqiang Kong, et al. ∙

research

∙ 03/02/2019

Weakly Labelled AudioSet Tagging with Attention Neural Networks

Audio tagging is the task of predicting the presence or absence of sound...

0 Qiuqiang Kong, et al. ∙

research

∙ 03/02/2019

Weakly labelled AudioSet Classification with Attention Neural Networks

Audio tagging is the task of predicting the presence or absence of sound...

0 Qiuqiang Kong, et al. ∙

research

∙ 11/17/2018

Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units

Audio tagging aims to detect the types of sound events occurring in an a...

0 Yuanbo Hou, et al. ∙

research

∙ 11/01/2018

Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data

Sound event detection (SED) is typically posed as a supervised learning ...

0 Dezhi Wang, et al. ∙

research

∙ 10/30/2018

General audio tagging with ensembling convolutional neural network and statistical features

Audio tagging aims to infer descriptive labels from audio clips. Audio t...

0 Kele Xu, et al. ∙

research

∙ 08/12/2018

Sample Mixed-Based Data Augmentation for Domestic Audio Tagging

Audio tagging has attracted increasing attention since last decade and h...

0 Shengyun Wei, et al. ∙

Qiuqiang Kong

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