Don't forget your standup! And 5 more tips for sound-rich stories

But in broadcast, you need to be there when the best sound happens. Arriving early — I suggest at the very least a half hour ...
Radio World

SCMS and radioDNA to Team Up for Video for Radio

SCMS and radioDNA are launching a new line of video automation systems designed to help radio outlets expand their visual ...
Analytics Insight

How to Detect AI-Generated Music Using Audio Clues and Tools

Overview: AI-generated music often sounds too perfect, with a steady pitch, a rigid rhythm, and a lack of human flaws.Repetitive loops, odd textures, and unnatu ...
GitHub

Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms "Typo" Correction

This repo is the implementation of a research project aimed at enhancing Acoustic Side-Channel Attacks (ASCAs) using a novel combination of Vision Transformers (VTs) and Large Language Models (LLMs).
IEEE

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

Abstract: In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio tagging (AT ...
Frontiers

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...
IEEE

Multi-modal Cross-Attention Guided Network for Audio-Visual Quality Evaluation via Visual Saliency and Mel-spectrum Features

Abstract: The quality evaluation of audio-visual (A/V) content has become increasingly critical in modern multimedia communication systems. Traditional single-modality quality evaluation methods and ...