61 citations · 260 across the 28 of their papers we have counts for
29 papers
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition
Karn N. Watcharasupat, Yiwei Ding, T. Aleksandra Ma +2
Any data annotation for subjective tasks shows potential variations between individuals. This is particularly true for annotations of emotional responses to musical stimuli. While…
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
Karn N. Watcharasupat, Alexander Lerch
Despite significant recent progress across multiple subtasks of audio source separation, few music source separation systems support separation beyond the four-stem vocals, drums,…
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation
Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding +6
Cinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture. In t…
Preliminary investigation of the short-term in situ performance of an automatic masker selection system
Bhan Lam, Zhen-Ting Ong, Kenneth Ooi +4
Soundscape augmentation or "masking" introduces wanted sounds into the acoustic environment to improve acoustic comfort. Usually, the masker selection and playback strategies are e…
Crossing the Linguistic Causeway: Ethnonational Differences on Soundscape Attributes in Bahasa Melayu
Bhan Lam, Julia Chieng, Kenneth Ooi +4
Despite being neighbouring countries and sharing the language of Bahasa Melayu (ISO 639-3:ZSM), cultural and language education policy differences between Singapore and Malaysia le…
Quantifying Spatial Audio Quality Impairment
Karn N. Watcharasupat, Alexander Lerch
Spatial audio quality is a highly multifaceted concept, with many interactions between environmental, geometrical, anatomical, psychological, and contextual considerations. Methods…
Autonomous Soundscape Augmentation with Multimodal Fusion of Visual and Participant-linked Inputs
Kenneth Ooi, Karn N. Watcharasupat, Bhan Lam +2
Autonomous soundscape augmentation systems typically use trained models to pick optimal maskers to effect a desired perceptual change. While acoustic information is paramount to su…
Assessment of a cost-effective headphone calibration procedure for soundscape evaluations
Bhan Lam, Kenneth Ooi, Zhen-Ting Ong +3
To increase the availability and adoption of the soundscape standard, a low-cost calibration procedure for reproduction of audio stimuli over headphones was proposed as part of the…
Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies
Zhen-Ting Ong, Bhan Lam, Kenneth Ooi +3
Studies involving soundscape perception often exclude participants with hearing loss to prevent impaired perception from affecting experimental results. Participants are typically…
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes
Kenneth Ooi, Zhen-Ting Ong, Karn N. Watcharasupat +3
Choosing optimal maskers for existing soundscapes to effect a desired perceptual change via soundscape augmentation is non-trivial due to extensive varieties of maskers and a deart…
Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering
Kenneth Ooi, Bhan Lam, Joo Young Hong +3
The ecological validity of soundscape studies usually rests on a choice of soundscapes that are representative of the perceptual space under investigation. For example, a soundscap…
FRCRN: Boosting Feature Representation using Frequency Recurrence for Monaural Speech Enhancement
Shengkui Zhao, Bin Ma, Karn N. Watcharasupat +1
Convolutional recurrent networks (CRN) integrating a convolutional encoder-decoder (CED) structure and a recurrent structure have achieved promising performance for monaural speech…
Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu
Bhan Lam, Julia Chieng, Karn N. Watcharasupat +4
Translation of perceptual descriptors such as the perceived affective quality attributes in the soundscape standard (ISO/TS 12913-2:2018) is an inherently intricate task, especiall…
Preliminary assessment of a cost-effective headphone calibration procedure for soundscape evaluations
Bhan Lam, Kenneth Ooi, Karn N. Watcharasupat +4
The introduction of ISO 12913-2:2018 has provided a framework for standardized data collection and reporting procedures for soundscape practitioners. A strong emphasis was placed o…
Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation
Trevor Wong, Karn N. Watcharasupat, Bhan Lam +4
Soundscape augmentation is an emerging approach for noise mitigation by introducing additional sounds known as "maskers" to increase acoustic comfort. Traditionally, the choice of…
Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain
Karn N. Watcharasupat, Kenneth Ooi, Bhan Lam +3
The selection of maskers and playback gain levels in a soundscape augmentation system is crucial to its effectiveness in improving the overall acoustic comfort of a given environme…
Quantitative Evaluation Approach for Translation of Perceptual Soundscape Attributes: Initial Application to the Thai Language
Karn N. Watcharasupat, Sureenate Jaratjarungkiat, Bhan Lam +8
Translation of perceptual soundscape attributes from one language to another remains a challenging task that requires a high degree of fidelity in both psychoacoustic and psycholin…
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch
Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Lat…
A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context
Kenneth Ooi, Karn N. Watcharasupat, Santi Peksi +8
This paper introduces SINGA:PURA, a strongly labelled polyphonic urban sound dataset with spatiotemporal context. The data were collected via several recording units deployed acros…
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu +4
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research. With frame-level music labels, the proposed dataset extends the existing AVASpeech dat…
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…
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
Karn N. Watcharasupat, Alexander Lerch
Controllable music generation with deep generative models has become increasingly reliant on disentanglement learning techniques. However, current disentanglement metrics, such as…
End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Woon-Seng Gan +2
Echo and noise suppression is an integral part of a full-duplex communication system. Many recent acoustic echo cancellation (AEC) systems rely on a separate adaptive filtering mod…
SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection
Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Ngoc Khanh Nguyen +2
Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation. While sound event detection mainly reli…