Results 21 to 30 of about 49,742 (177)

Classification of heart sound signals with Whisper model

Connection Science
Heart sounds, or phonocardiograms (PCG), are important for diagnosing cardiovascular conditions, providing a non-invasive means to assess heart function through auscultation.
Yakoub Bazi, Nassim Ammour
exaly   +2 more sources

Transcription of Audio and Video with OpenAI’s Whisper

TCB: Technical Services in Religion & Theology
Margarete Wilkey, Geoffrey Wood
openaire   +2 more sources

Whisper Game: Practicing Attention Through Caring and Pacing [PDF]

, 2022
In “Whisper Game: Practicing Attention Through Caring and Pacing,” Basia Sliwinska and Caroline Stevenson experienced embodied knowledge in conversation with Judah Attille, Giovanna Bragaglia, Maria Costantino, Fabiola Fiocco and Alison Green by playing ...
Stevenson, Caroline, Sliwinska, Basia
core   +5 more sources

Automated Caption Generation for Video Call with Language Translation [PDF]

E3S Web of Conferences, 2023
In the modern era, virtual communication between individuals is common. Many people’s lives have been made simpler in a number of circumstances by providing subtitles, generating automated captions for social media videos, and language translation from a
Polepaka Sanjeeva, Prashanth Kumar Varikuppala, Umesh Chandra S., Sri Krishna Hema Nagendra, Thakur Gaurav   +4 more
doaj   +1 more source

AI-Powered Audio Summarization and Ethical Content Analysis Using OpenAI Whisper

SSRN Electronic Journal
Samyak Vamshi Shaga
openaire   +2 more sources

Adapting OpenAI’s Whisper for Speech Recognition on Code-Switch Mandarin-English SEAME and ASRU2019 Datasets [PDF]

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
This paper reports on SOTA results achieved using openAI’s Whisper model with adaptation on different adaptation corpus sizes for two established code-switch Mandarin/English corpus - namely SEAME and ASRU2019 corpora.Two key experiments were conducted ...
Yuhang Yang, Yizhou Peng, Hao Huang, Chng Eng Siong, Xionghu Zhong   +4 more
semanticscholar   +1 more source

BENCHMARKING WHISPER OPENAI ON SARAWAK LANGUAGES [PDF]

, 2023
The end-to-end (E2E) model is influentially reshaping the automatic speech recognition (ASR) scene, supplanting traditional ASR models such as the Hidden Markov model (HMM) and Deep Neural Network (DNN)-based hybrid models.
GERALD EINSTEIN CORNELIUS
core  

Using HIPAA (Health Insurance Portability and Accountability Act)–Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study

JMIR Mental Health, 2023
BackgroundAutomatic speech recognition (ASR) technology is increasingly being used for transcription in clinical contexts. Although there are numerous transcription services using ASR, few studies have compared the word error rate
Salman Seyedi, Emily Griner, Lisette Corbin, Zifan Jiang, Kailey Roberts, Luca Iacobelli, Aaron Milloy, Mina Boazak, Ali Bahrami Rad, Ahmed Abbasi, Robert O Cotes, Gari D Clifford   +11 more
doaj   +1 more source

Reconstruction of Phonated Speech from Whispers Using Formant-Derived Plausible Pitch Modulation [PDF]

, 2015
Whispering is a natural, unphonated, secondary aspect of speech communications for most people. However, it is the primary mechanism of communications for some speakers who have impaired voice production mechanisms, such as partial laryngectomees, as ...
Sharifzadeh, Hamid Reza, McLoughlin, Ian V., Song, Yan, Tan, Su Lim, Li, Jingjie   +4 more
core   +1 more source

Whisper-to-speech conversion using restricted Boltzmann machine arrays [PDF]

, 2014
Whispers are a natural vocal communication mechanism, in which vocal cords do not vibrate normally. Lack of glottal-induced pitch leads to low energy, and an inherent noise-like spectral distribution reduces intelligibility.
Li, Jing-jie, Dai, Li-Rong, Ling, Zhen-hua, McLoughlin, Ian Vince   +3 more
core   +1 more source