Results 51 to 60 of about 2,183,275 (319)
Audio secret sharing for 1-bit audio
In this paper, we propose a new secret sharing scheme (SSS) [1] for audio signals, called as “Binary audio secret sharing (BASS).” SSS is an encryption method and produces n shared data from an original data to hide useful information. Applying SSS to audio communications on the Internet can help to make it more robust against theft and the tapping of ...
Ryouichi Nishimura +2 more
openaire +2 more sources
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
Deep Learning of Human Perception in Audio Event Classification
In this paper, we introduce our recent studies on human perception in audio event classification by different deep learning models. In particular, the pre-trained model VGGish is used as feature extractor to process audio data, and DenseNet is trained by
Beuret, Samuel +3 more
core +1 more source
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction
Larynx microphones (LMs) make it possible to obtain practically crosstalk-free recordings of the human voice by picking up vibrations directly from the throat. This can be useful in a multitude of music information retrieval scenarios related to singing,
Simon Schwär +5 more
doaj +1 more source
Audio signals represent a wide diversity of acoustic events, from background environmental noise to spoken communication. Machine learning models such as neural networks have already been proposed for audio signal modeling, where recurrent structures can
Diego de Benito-Gorron +3 more
doaj +1 more source
Predicting Audio Advertisement Quality
Online audio advertising is a particular form of advertising used abundantly in online music streaming services. In these platforms, which tend to host tens of thousands of unique audio advertisements (ads), providing high quality ads ensures a better ...
Bandiera Giuseppe +9 more
core +1 more source
Audio codec identification from coded and transcoded audios
A novel technique is presented to identify the codec of a coded audio. The technique does not perform decoding, utilize any coding metadata, or assume information about the structure describing the bit stream format of a codec. The underlying idea of the technique is that the design choices governing the compression level, audio quality and complexity ...
Hicsonmez, Samet +2 more
openaire +4 more sources
Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source
Evaluation of vestibular system in profound sensorineural hearing loss patients
Background The cochlea and vestibule share a continuous membranous structure and similar receptor cell ultrastructures and are supplied by common arterial blood.
Faten Magdy Al-Ghandour +4 more
doaj +1 more source

