Search Results for author:
Found 13 papers, 8 papers with code
Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
Despite significant advancements in neural text-to-audio generation, challenges persist in controllability and evaluation.
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms
Major advancements rely on simulated data with sound events in specific rooms and strong spatio-temporal labels.
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization
As deeper and more complex models are developed for the task of sound event localization and detection (SELD), the demand for annotated spatial audio data continues to increase.
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
This approach allows representations derived for one task to be applied to another, and can result in high accuracy with less stringent training data requirements for the downstream task.
A Proposal for Foley Sound Synthesis Challenge
"Foley" refers to sound effects that are added to multimedia during post-production to enhance its perceived acoustic properties, e. g., by simulating the sounds of footsteps, ambient environmental sounds, or visible objects on the screen.
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN
Recent literature has demonstrated that the use of per-channel energy normalization (PCEN), has significant performance improvements over traditional log-scaled mel-frequency spectrograms in acoustic sound event detection (SED) in a multi-class setting with overlapping events.
Multi-Task Self-Supervised Pre-Training for Music Classification
Deep learning is very data hungry, and supervised learning especially requires massive labeled data to work well.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+7
Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
This paper addresses the extraction of multiple F0 values from polyphonic and a cappella vocal performances using convolutional neural networks (CNNs).
Learning the helix topology of musical pitch
To explain the consonance of octaves, music psychologists represent pitch as a helix where azimuth and axial coordinate correspond to pitch class and pitch height respectively.
Multitask Learning for Fundamental Frequency Estimation in Music
Fundamental frequency (f0) estimation from polyphonic music includes the tasks of multiple-f0, melody, vocal, and bass line estimation.
Adaptive pooling operators for weakly labeled sound event detection
In this work, we treat SED as a multiple instance learning (MIL) problem, where training labels are static over a short excerpt, indicating the presence or absence of sound sources but not their temporal locality.
Towards Music Captioning: Generating Music Playlist Descriptions
Descriptions are often provided along with recommendations to help users' discovery.
Codebook based Audio Feature Representation for Music Information Retrieval
Automated recommendation systems are essential for users to discover music they love and for artists to reach appropriate audience.
