A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
[HTML][HTML] You only hear once: a YOLO-like algorithm for audio segmentation and sound event detection
Audio segmentation and sound event detection are crucial topics in machine listening that
aim to detect acoustic classes and their respective boundaries. It is useful for audio-content …
aim to detect acoustic classes and their respective boundaries. It is useful for audio-content …
Predicting the age of field Anopheles mosquitoes using mass spectrometry and deep learning
N Mohammad, P Naudion, AK Dia, PY Boëlle… - Science …, 2024 - science.org
Mosquito-borne diseases like malaria are rising globally, and improved mosquito vector
surveillance is needed. Survival of Anopheles mosquitoes is key for epidemiological …
surveillance is needed. Survival of Anopheles mosquitoes is key for epidemiological …
[HTML][HTML] A large TV dataset for speech and music activity detection
Automatic speech and music activity detection (SMAD) is an enabling task that can help
segment, index, and pre-process audio content in radio broadcast and TV programs …
segment, index, and pre-process audio content in radio broadcast and TV programs …
[HTML][HTML] Investigating the effects of training set synthesis for audio segmentation of radio broadcast
Music and speech detection provides us valuable information regarding the nature of
content in broadcast audio. It helps detect acoustic regions that contain speech, voice over …
content in broadcast audio. It helps detect acoustic regions that contain speech, voice over …
Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast
Segmenting audio into homogeneous sections such as music and speech helps us
understand the content of audio. It is useful as a pre-processing step to index, store, and …
understand the content of audio. It is useful as a pre-processing step to index, store, and …
[HTML][HTML] A Comparative Analysis of Slope Failure Prediction Using a Statistical and Machine Learning Approach on Displacement Data: Introducing a Tailored …
Slope failures pose significant threats to human safety and vital infrastructure. The urgent
need for the accurate prediction of these geotechnical events is driven by two main goals …
need for the accurate prediction of these geotechnical events is driven by two main goals …
Vulnerability detection in smart contracts using deep learning
Various decentralized applications have deployed millions of smart contracts (SCs) on the
Blockchain networks. SCs enable programmable transactions involving the transfer of …
Blockchain networks. SCs enable programmable transactions involving the transfer of …
Clean vs. overlapped speech-music detection using harmonic-percussive features and multi-task learning
M Bhattacharjee, SRM Prasanna… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Detection of speech and music signals in isolated and overlapped conditions is an essential
preprocessing step for many audio applications. Speech signals have wavy and continuous …
preprocessing step for many audio applications. Speech signals have wavy and continuous …
LCANet: Lightweight context-aware attention networks for earthquake detection and phase-picking on IoT edge devices
Aftershocks monitoring system is a large-scale Internet of Things (IoT) system. Earthquake
signal detection and phase-picking, as the core of aftershocks monitoring system, is time …
signal detection and phase-picking, as the core of aftershocks monitoring system, is time …