Results 31 to 40 of about 377,649 (289)

Intelligibility and Listening Effort of Spanish Oesophageal Speech

open access: yesApplied Sciences, 2019
Communication is a huge challenge for oesophageal speakers, be it for interactions with fellow humans or with digital voice assistants. We aim to quantify these communication challenges (both human−human and human−machine interactions) by ...
Sneha Raman   +4 more
doaj   +1 more source

Deep convolutional neural networks for double compressed AMR audio detection

open access: yesIET Signal Processing, 2021
Detection of double compressed (DC) adaptive multi‐rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural networks (CNN) for DC AMR audio
Aykut Büker, Cemal Hanilçi
doaj   +1 more source

A Novel Dentary Bone Conduction Device Equipped with Laser Communication in DSP

open access: yesSensors, 2021
In this study, we designed a dentary bone conduction system that transmits and receives audio by laser. The main objective of this research was to propose a complete hardware design method, including a laser audio transmitter and receiver and digital ...
Jau-Woei Perng   +2 more
doaj   +1 more source

Micromechanical microphone using sideband modulation of nonlinear resonators [PDF]

open access: yes, 2017
We report the successful detection of an audio signal via sideband modulation of a nonlinear piezoelectric micromechanical resonator. The 270$\times$96-$\mu$m resonator was shown to be reliable in audio detection for sound intensity levels as low as ...
Ballantine D.   +4 more
core   +1 more source

A Survey of Audio Classification Using Deep Learning

open access: yesIEEE Access, 2023
Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental sounds.
Khalid Zaman   +3 more
doaj   +1 more source

A simulated annealing optimization of audio features for drum classification [PDF]

open access: yes, 2005
Current methods for the accurate recognition of instruments within music are based on discriminative data descriptors. These are features of the music fragment that capture the characteristics of the audio and suppress details that are redundant for the ...
De Baets, Bernard   +4 more
core   +3 more sources

Reconstructing intelligible audio speech from visual speech features [PDF]

open access: yes, 2015
This work describes an investigation into the feasibility of producing intelligible audio speech from only visual speech fea- tures. The proposed method aims to estimate a spectral enve- lope from visual features which is then combined with an arti ...
Le Cornu, Thomas, Milner, Ben
core  

Adaptive DCTNet for Audio Signal Classification

open access: yes, 2017
In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction.
Gan, Zhe   +4 more
core   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman   +8 more
wiley   +1 more source

Decoder of the 48 kbps Audio Coder based on Segmental Sinusoidal Model [PDF]

open access: yes, 2010
The recent technology of the television is implementation the digital system over transmitter, transmission channel and receiver. Therefore, television system in Indonesia is dominated by analog system, that less flexible for system development and ...
budisetiawan, florentinus
core  

Home - About - Disclaimer - Privacy