Results 11 to 20 of about 49,742 (177)

Нови тенденциї у розвою сучасней линґвистики у Сербї

Rìčnik Ruskoj Bursy
ANALIZA I KLASYFIKACJA JĘZYKA RUSIŃSKIEGO PRZY UŻYCIU MODELU SZTUCZNEJ SIECI NEURONOWEJ ASR OPENAI WHISPER Artykuł przedstawia analizę lingwistyczną języka rusińskiego, koncentrując się na jego złożonych i zmieniających się aspektach, takich jak wymowa
Paweł Małecki, Magdalena Piotrowska
doaj   +2 more sources

Implementasi Automatic Speech Recognition Bacaan Al-Qur’an Menggunakan Metode Wav2Vec 2.0 dan OpenAI-Whisper

Jurnal Teknik Elektro dan Komputer TRIAC
— Implementasi Automatic Speech ...
Danny Ferdiansyah, Christian Sri Kusuma Aditya   +1 more
openaire   +2 more sources

Automated Assessment of Word- and Sentence-Level Speech Intelligibility in Developmental Motor Speech Disorders: A Cross-Linguistic Investigation [PDF]

Diagnostics
Background/Objectives: Accurate assessment of speech intelligibility is necessary for individuals with motor speech disorders. Transcription or scaled rating methods by naïve listeners are the most reliable tasks for these purposes; however, they are ...
Micalle Carl, Michal Icht
doaj   +2 more sources

Enhancing supermarket robot interaction: an equitable multi-level LLM conversational interface for handling diverse customer intents [PDF]

Frontiers in Robotics and AI
This paper presents the design and evaluation of a comprehensive system to develop voice-based interfaces to support users in supermarkets. These interfaces enable shoppers to convey their needs through both generic and specific queries.
Chandran Nandkumar, Luka Peternel
doaj   +2 more sources

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data [PDF]

Automatic Speech Recognition & Understanding, 2023
Pre-training speech models on large volumes of data has achieved remarkable success. OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised speech data.
Yifan Peng, Jinchuan Tian, Brian Yan, Dan Berrebbi, Xuankai Chang, Xinjian Li, Jiatong Shi, Siddhant Arora, William Chen, Roshan Sharma, Wangyou Zhang, Yui Sudo, Muhammad Shakeel, Jee-weon Jung, Soumi Maiti, Shinji Watanabe   +15 more
semanticscholar   +4 more sources

Speech Emotion Recognition Leveraging OpenAI's Whisper Representations and Attentive Pooling Methods

CoRR
Speech Emotion Recognition (SER) research has faced limitations due to the lack of standard and sufficiently large datasets. Recent studies have leveraged pre-trained models to extract features for downstream tasks such as SER. This work explores the capabilities of Whisper, a pre-trained ASR system, in speech emotion recognition by proposing two ...
Ali Shendabadi, Parnia Izadirad, Mostafa Salehi, Mahmoud Bijankhan   +3 more
openaire   +3 more sources

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   +2 more sources

Human-like AI-based auto-field-in-field whole-brain radiotherapy treatment planning with conversation large language model feedback. [PDF]

J Appl Clin Med Phys
Abstract Background Whole‐brain radiotherapy (WBRT) is a common treatment due to its simplicity and effectiveness. While automated Field‐in‐Field (Auto‐FiF) functions assist WBRT planning in modern treatment planning systems, it still requires manual approaches for optimal plan generation including patient‐specific hyperparameters definition and plan ...
Jafar A, Qin A, Atkins G, Hu X, Gao Y, Jia X.   +5 more
europepmc   +2 more sources

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

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
This paper details the experimental results of adapting the OpenAI's Whisper model for Code-Switch Mandarin-English Speech Recognition (ASR) on the SEAME and ASRU2019 corpora. We conducted 2 experiments: a) using adaptation data from 1 to 100/200 hours to demonstrate effectiveness of adaptation, b) examining different language ID setup on Whisper ...
Xionghu Zhong
exaly   +4 more sources

From voice to ink (Vink): development and assessment of an automated, free-of-charge transcription tool [PDF]

BMC Research Notes
Background Verbatim transcription of qualitative audio data is a cornerstone of analytic quality and rigor, yet the time and energy required for such transcription can drain resources, delay analysis, and hinder the timely dissemination of qualitative ...
Hannah Tolle, Maria del Mar Castro, Jonas Wachinger, Agrin Zauyani Putri, Dominic Kempf, Claudia M. Denkinger, Shannon A. McMahon   +6 more
doaj   +2 more sources