Results 21 to 30 of about 22,680 (257)

Joint Detection and Classification of Singing Voice Melody Using Convolutional Recurrent Neural Networks

open access: yesApplied Sciences, 2019
Singing melody extraction essentially involves two tasks: one is detecting the activity of a singing voice in polyphonic music, and the other is estimating the pitch of a singing voice in the detected voiced segments.
Sangeun Kum, Juhan Nam
doaj   +1 more source

The Performance of Wearable Speech Enhancement System Under Noisy Environment: An Experimental Study

open access: yesIEEE Access, 2022
Wearable speech enhancement can improve the recognition accuracy of the speech signals in stationary noise environments at 0dB to 60dB signal to noise ratio.
Pavani Cherukuru   +2 more
doaj   +1 more source

Application of Fusion of Various Spontaneous Speech Analytics Methods for Improving Far-Field Neural-Based Diarization

open access: yesMathematics, 2021
Recently developed methods in spontaneous speech analytics require the use of speaker separation based on audio data, referred to as diarization. It is applied to widespread use cases, such as meeting transcription based on recordings from distant ...
Sergei Astapov   +9 more
doaj   +1 more source

An Adaptive Voice Activity Detection Algorithm [PDF]

open access: yesInternational Journal on Smart Sensing and Intelligent Systems, 2015
Abstract Voice Activity Detection (VAD) is a crucial step for speech processing, which detecting accuracy and speed directly affects the effect of subsequent processing. Some voice processing system based phone or in the indoor environment, which need simple and quick method of VAD, for these representative voice signal, this paper ...
Zhigang, Zhang, Junqin, Huang
openaire   +2 more sources

Numerical Analysis of CNC Milling Chatter Using Embedded Miniature MEMS Microphone Array System

open access: yesInventions, 2018
With the increasingly common use of industrial automation for mass production, there are many computer numerical control (CNC) machine tools that require the collection of data from intelligent sensors in order to analyze their processing quality.
Pang-Li Wang, Yu-Ting Tsai
doaj   +1 more source

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa   +7 more
wiley   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya   +11 more
wiley   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

FDE-Mamba: Selective State Space Modeling for Personal Voice Activity Detection

open access: yesApplied Sciences
Voice Activity Detection (VAD) and Personal Voice Activity Detection (PVAD) are fundamental components in modern voice-based human–machine interaction systems.
Chien-Chia Chiu   +4 more
doaj   +1 more source

Enhancement of speech dynamics for voice activity detection using DNN

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2018
Voice activity detection (VAD) is an important preprocessing step for various speech applications to identify speech and non-speech periods in input signals.
Suci Dwijayanti   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy