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09/05/2023
Music Source Separation with Band-Split RoPE Transformer
Music source separation (MSS) aims to separate a music recording into mu...
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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...
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05/11/2023
Universal Source Separation with Weakly Labelled Data
Universal source separation (USS) is a fundamental research task for com...
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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...
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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...
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11/22/2022
Ontology-aware Learning and Evaluation for Audio Tagging
This study defines a new evaluation metric for audio tagging tasks to ov...
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11/04/2022
Binaural Rendering of Ambisonic Signals by Neural Networks
Binaural rendering of ambisonic signals is of broad interest to virtual ...
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10/28/2022
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Audio captioning is the task of generating captions that describe the co...
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10/22/2022
Neural Sound Field Decomposition with Super-resolution of Sound Direction
Sound field decomposition predicts waveforms in arbitrary directions usi...
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10/04/2022
Learning the Spectrogram Temporal Resolution for Audio Classification
The audio spectrogram is a time-frequency representation that has been w...
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10/03/2022
Simple Pooling Front-ends For Efficient Audio Classification
Recently, there has been increasing interest in building efficient audio...
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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...
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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...
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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...
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06/22/2022
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
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04/12/2022
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
Speech restoration aims to remove distortions in speech signals. Prior m...
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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...
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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 ...
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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...
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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...
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09/28/2021
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
Speech restoration aims to remove distortions in speech signals. Prior m...
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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...
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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...
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04/02/2021
An Audio-Based Deep Learning Framework ForBBC Television Programme Classification
This paper proposes a deep learning framework for classification of BBC ...
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03/30/2021
Time-domain Speech Enhancement with Generative Adversarial Learning
Speech enhancement aims to obtain speech signals with high intelligibili...
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02/19/2021
Speech enhancement with weakly labelled data from AudioSet
Speech enhancement is a task to improve the intelligibility and perceptu...
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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...
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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 ...
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10/28/2020
Large-Scale MIDI-based Composer Classification
Music classification is a task to classify a music piece into labels suc...
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10/25/2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD), which jointly ...
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10/11/2020
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
Symbolic music datasets are important for music information retrieval an...
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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...
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09/30/2020
Event-Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection is not only detecting ...
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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-...
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07/16/2020
Audio Tagging by Cross Filtering Noisy Labels
High quality labeled datasets have allowed deep learning to achieve impr...
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02/11/2020
Learning with Out-of-Distribution Data for Audio Classification
In supervised machine learning, the assumption that training data is lab...
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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...
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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 ...
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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...
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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...
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06/14/2019
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Single-channel signal separation and deconvolution aims to separate and ...
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05/01/2019
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Sound event detection (SED) and localization refer to recognizing sound ...
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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...
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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...
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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...
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03/02/2019
Weakly Labelled AudioSet Tagging with Attention Neural Networks
Audio tagging is the task of predicting the presence or absence of sound...
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03/02/2019
Weakly labelled AudioSet Classification with Attention Neural Networks
Audio tagging is the task of predicting the presence or absence of sound...
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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...
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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 ...
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10/30/2018
