[图书][B] Automatic speech recognition on mobile devices and over communication networks

ZH Tan, B Lindberg - 2008 - books.google.com
The remarkable advances in computing and networking have sparked an enormous interest
in deploying automatic speech recognition on mobile devices and over communication …

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases

F Fareez, T Parikh, C Wavell, S Shahab, M Chevalier… - Scientific Data, 2022 - nature.com
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and
outbreak detection through Natural Language Processing (NLP), machine learning models …

Ensemble deep learning in speech signal tasks: a review

M Tanveer, A Rastogi, V Paliwal, MA Ganaie, AK Malik… - Neurocomputing, 2023 - Elsevier
Abstract Machine learning methods are extensively used for processing and analysing
speech signals by virtue of their performance gains over multiple domains. Deep learning …

Voice for health: the use of vocal biomarkers from research to clinical practice

G Fagherazzi, A Fischer, M Ismael, V Despotovic - Digital biomarkers, 2021 - karger.com
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …

A deep dive into deep learning techniques for solving spoken language identification problems

HS Das, P Roy - Intelligent speech signal processing, 2019 - Elsevier
Automatic language identification has always been a challenging issue and an important
research area in speech signal processing. It is the process of identifying a language from a …

[引用][C] Speech communications: Human and machine (IEEE)

D O'shaughnessy - 1987 - Universities press

Automatic voice pathology monitoring using parallel deep models for smart healthcare

M Alhussein, G Muhammad - Ieee Access, 2019 - ieeexplore.ieee.org
Recent advancements in wireless communication and machine learning technologies aid in
the development of an accurate and affordable healthcare facility. In this paper, we propose …