Results 41 to 50 of about 9,795,875 (280)

The Usefulness of Imperfect Speech Data for ASR Development in Low-Resource Languages

Information, 2019
When the National Centre for Human Language Technology (NCHLT) Speech corpus was released, it created various opportunities for speech technology development in the 11 official, but critically under-resourced, languages of South Africa.
Jaco Badenhorst, Febe de Wet
doaj   +1 more source

Deep neural networks for automatic speech processing: a survey from large corpora to limited data

EURASIP Journal on Audio, Speech, and Music Processing, 2022
Most state-of-the-art speech systems use deep neural networks (DNNs). These systems require a large amount of data to be learned. Hence, training state-of-the-art frameworks on under-resourced speech challenges are difficult tasks.
Vincent Roger, Jérôme Farinas, Julien Pinquier   +2 more
doaj   +1 more source

Preliminary Evaluation of Convolutional Neural Network Acoustic Model for Iban Language Using NVIDIA NeMo

Journal of Telecommunications and Information Technology, 2022
For the past few years, artificial neural networks (ANNs) have been one of the most common solutions relied upon while developing automated speech recognition (ASR) acoustic models. There are several variants of ANNs, such as deep neural networks (DNNs),
Steve Olsen Michael, Sarah Samson Juan , Edwin Mit   +2 more
doaj   +1 more source

Hope Speech detection in under-resourced Kannada language

CoRR, 2021
@article{hande-etal-kanhope, title = "Hope Speech detection in under-resourced Kannada language", author = "Hande, Adeep and Priyadharshini, Ruba and Sampath, Anbukkarasi and Thamburaj, Kingston Pal and Chandran, Prabakaran and Chakravarthi, Bharathi Raja ", journal={SN Computer Science}, publisher={Springer} }
Hande, Adeep, Priyadharshini, Ruba, Sampath, Anbukkarasi, Thamburaj, Kingston Pal, Chandran, Prabakaran, Chakravarthi, Bharathi Raja   +5 more
openaire   +4 more sources

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition

IEEE Access
Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade.
I-Ting Hsieh, Chung-Hsien Wu, Zhe-Hong Zhao   +2 more
doaj   +1 more source

Boosting under-resourced speech recognizers by exploiting out of language data - case study on Afrikaans [PDF]

, 2014
Under-resourced speech recognizers may benefit from data in languages other than the target language. In this paper, we boost the performance of an Afrikaans speech recognizer by using already available data from other languages. To suc-cessfully exploit
Imseng, David, Herve ́ Bourlard, Bourlard, Hervé, Garner, Philip N., David Imseng, Philip N. Garner   +5 more
core   +2 more sources

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Short Text Language Identification for Under Resourced Languages

CoRR, 2019
Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing ...
openaire   +3 more sources

A primer on getting neologisms from foreign languages to under-resourced languages

CoRR, 2023
Mainly due to lack of support, most under-resourced languages have a reduced lexicon in most realms and domains of increasing importance, then their speakers need to significantly augment it. Although neologisms should arise from the languages themselves, external sources are widely accepted.
openaire   +3 more sources