Speech technology for healthcare: Opportunities, challenges, and state of the art
Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …
technology—especially those driven by deep learning (DL) technology—offer …
Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …
prosodic properties of a speech signal are modulated with a range of health related effects …
Biosignal sensors and deep learning-based speech recognition: A review
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …
intentions as a human being. There are several causes of voice inability, including disease …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Is speech the new blood? recent progress in ai-based disease detection from audio in a nutshell
In recent years, advancements in the field of artificial intelligence (AI) have impacted several
areas of research and application. Besides more prominent examples like self-driving cars …
areas of research and application. Besides more prominent examples like self-driving cars …
Automatic speech recognition: a survey
Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …
using various deep learning techniques. In this study, we present a thorough comparison …
A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
[图书][B] Automatic speech recognition
Automatic Speech Recognition (ASR), which is aimed to enable natural human–machine
interaction, has been an intensive research area for decades. Many core technologies, such …
interaction, has been an intensive research area for decades. Many core technologies, such …
Automatic speech recognition using advanced deep learning approaches: A survey
Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …
Speech as a biomarker: opportunities, interpretability, and challenges
Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …
demonstrated notable advancements in automated speech processing with the use of …