[PDF][PDF] Speech recognition utilizing deep learning: A systematic review of the latest developments
Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …
transcription of spoken language in real time. Numerous studies have been conducted on …
Digital image watermarking using deep learning: A survey
Lately, a lot of attention has been paid to securing the ownership rights of digital images.
The expanding usage of the Internet causes several problems, including data piracy and …
The expanding usage of the Internet causes several problems, including data piracy and …
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent
The article examined the deep learning models and Fastai text classification technique to
predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals …
predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals …
A hybrid feature-extracted deep CNN with reduced parameters substitutes an End-to-End CNN for the recognition of spoken Bengali digits
B Paul, S Phadikar - Multimedia Tools and Applications, 2024 - Springer
Speech Recognition (SR) is an emerging field in the native language nowadays.
Recognizing isolated words in the local language helps people use smartphones and …
Recognizing isolated words in the local language helps people use smartphones and …
Feature Constrained Encoding Generative Adversarial Prediction Network for Quality Measurement Modeling Under Multi-time Scales Data Imbalance In Process …
G Huang, X Hao, Y Zhang, J Liu, J Jiao - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Data imbalance problem hinders the quality indicators data driven soft sensing modeling in
process industry. This problem is caused by production complexity, which makes the pivotal …
process industry. This problem is caused by production complexity, which makes the pivotal …
Classification of disordered patient's voice by using pervasive computational algorithms
AK Maddali, H Khan - International Journal of Pervasive Computing …, 2022 - emerald.com
Purpose Currently, the design, technological features of voices, and their analysis of various
applications are being simulated with the requirement to communicate at a greater distance …
applications are being simulated with the requirement to communicate at a greater distance …
A new intonation quality evaluation method based on self-supervised learning
W Wang, N Zhang, W Peng… - Journal of Intelligent & …, 2023 - content.iospress.com
Intonation evaluation is an important precondition that offers guidance to music practices.
This paper present a new intonation quality evaluation method based on self-supervised …
This paper present a new intonation quality evaluation method based on self-supervised …