Results 31 to 40 of about 243 (116)

Virtually Shamans: An Anthropological Perspective on AI Chatbots

open access: yesAnthropology of Consciousness, Volume 36, Issue 2, Fall 2025.
ABSTRACT This article explores the emerging relationship between humans and AI chatbots through the anthropological lens of shamanic practice, proposing the concept of “virtually shamans” to understand these digital interactions. Drawing on ethnographic traditions of studying magic, spirituality, and technological mediation, we argue that AI chatbot ...
Mark Friis Hau, Jakob Krause‐Jensen
wiley   +1 more source

Artificial Intelligence‐Generated Feedback for Second Language Intelligibility: An Exploratory Intervention Study on Effects and Perceptions

open access: yesLanguage Learning, Volume 75, Issue S1, Page 204-241, September 2025.
Abstract This study investigated the use of Artificial Intelligence (AI) models and signal detection processes to generate meaningful visual and ChatGPT‐like narrative feedback on second language (L2) English intelligibility. To test the effects and perceptions of such techniques, three groups of learners (N = 90) received visual and narrative feedback
Kevin Hirschi   +4 more
wiley   +1 more source

Acoustic features are independently associated with heart failure and pulmonary hypertension

open access: yesESC Heart Failure, Volume 12, Issue 4, Page 2946-2957, August 2025.
Abstract Introduction Acoustic analysis of speech has discriminated decompensated acute heart failure (HF). Speech rate (SR) and cepstral peak prominence (CPP) variation are among features previously evaluated. However, the association between SR and CPP and chronic stable HF with and without pulmonary hypertension (PH) as well as PH alone have not ...
Jaskanwal Deep S. Sara   +6 more
wiley   +1 more source

Video Transcripts Summarization using OpenAI Whisper and GPT Model

open access: yesInternational Journal for Research in Applied Science and Engineering Technology
Abstract: In today’s digital age, a vast amount of video content is generated and shared on the internet every minute. However, extracting relevant information from these videos can be time-consuming and challenging. This is where video transcript summarization comes in, providing a concise summary of video content without the need to watch the entire ...
openaire   +1 more source

Quantization for OpenAI's Whisper Models: A Comparative Analysis

open access: yes
Automated speech recognition (ASR) models have gained prominence for applications such as captioning, speech translation, and live transcription. This paper studies Whisper and two model variants: one optimized for live speech streaming and another for offline transcription.
openaire   +2 more sources

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

open access: yesJURNAL 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   +4 more
openaire   +1 more source

Instant Transcription and Translation Tool using OpenAI?s Whisper ASR Model

open access: yesInternational Journal of Science and Research (IJSR), 2022
Akarsh Ghale, Janaki K, Devaraj Verma C
openaire   +1 more source

UEG Week 2025 Poster Presentations

open access: yes
United European Gastroenterology Journal, Volume 13, Issue S8, Page S803-S1476, October 2025.
wiley   +1 more source

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

open access: yes
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   +7 more
openaire   +1 more source

Riconoscimento del parlato mediante OpenAI Whisper

open access: yes
Questa 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. Whisper rappresenta lo stato dell’arte nella comprensione del parlato umano e si distingue per essere un modello open source.
openaire   +1 more source

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