Results 51 to 60 of about 420 (159)

Silent teachers: Narratives from the simulation lab

Medical Education, Volume 60, Issue 1, Page 46-50, January 2026.
Abstract Introduction Patient mannequins are ubiquitous in simulation‐based medical education, yet their own ‘stories’ remain untold. This paper adopts a playful, phenomenological lens, amplified by artificial intelligence (AI), to explore the fictional ‘lived experiences’ of these silent teachers and reflect on their pedagogical significance.
Aaron Lawson McLean, Anna C. Lawson McLean   +1 more
wiley   +1 more source

Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models

Speech enabled foundation models, either in the form of flexible speech recognition based systems or audio-prompted large language models (LLMs), are becoming increasingly popular.
Gales, Mark, Raina, Vyas
core   +3 more sources

Présentation des fonctionnalités de Whisper

Whisper est un logiciel gratuit de retranscription « speech-to-text » (d’un enregistrement audio vers un fichier texte), Développé par OpenAi (les créateurs de ChatGpt).
Auvray, Alexandre, Macgregor, Bénédicte   +1 more
core   +1 more source

AUDIO-TO-TEXT TRANSLATION FOR THE HARD OF HEARING: A WHISPER MODEL-BASED STUDY

This study investigates the effectiveness of the Whisper model for audio-to-text transcription, specifically targeting the enhancement of accessibility for individuals with hearing impairments.
Aben, Arypzhan, Ibrayeva, Gulmira, Kazbekova, Gulnur, Ismagulova, Zhuldyz   +3 more
core   +1 more source

Introducing Project-W: A self-hostable platform for OpenAI’s Whisper [PDF]

Speech-to-text technologies, driven by advancements in artificial intelligence, are increasingly beneficial to sectors like research and education. These systems enable the transcription of vast audio data, making it easier to process, analyze, and archive information.
Partanen, Julian, Everling, Markus, Kempf, Dominic, Knoth, Tim, Böhm, Don, Kepper, Nikolaus, Baumann, Martin, Haller, Alexander   +7 more
openaire  

Testeando ATLAS.ti con OpenAI: hacia un nuevo paradigma para el análisis cualitativo de entrevistas con inteligencia artificial [PDF]

, 2023
This report aims to provide practical guidance to researchers on how to code interviews in research projects and identify response patterns using the computer-assisted content analysis program ATLAS.ti and its new artificial intelligence (AI) tool ...
Carlos, Lopezosa, Lluís, Codina, Juan-José, Boté-Vericad   +2 more
core  

Speech Recognition based on OpenAI Whisper

openQuesta tesi si propone di implementare e analizzare un sistema di riconoscimento vocale in tempo reale in locale utilizzando OpenAI Whisper, un modello avanzato basato su tecniche di deep learning.
LODA, ENRICO
core  

ePoster

European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source

A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial.
Fredriksson, Max, Ramsay Veljanovska, Elise   +1 more
core   +1 more source

Enhancing Speech-to-Text and Translation Capabilities for Developing Arabic Learning Games: Integration of Whisper OpenAI Model and Google API Translate

JURNAL TEKNIK INFORMATIKA
This study tackles language barriers in computer-mediated communication by developing an application that integrates OpenAI’s Whisper ASR model and Google Translate machine translation to enable real-time, continuous speech transcription and translation and the processing of video and audio files.
Dewi Khairani, Tabah Rosyadi, Arini Arini, Imam Luthfi Rahmatullah, Fauzan Farhan Antoro   +4 more
openaire   +1 more source