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 …
Deep representation learning in speech processing: Challenges, recent advances, and future trends
Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …
engineered acoustic features (feature engineering) as a separate distinct problem from the …
Survey of deep representation learning for speech emotion recognition
Traditionally, speech emotion recognition (SER) research has relied on manually
handcrafted acoustic features using feature engineering. However, the design of …
handcrafted acoustic features using feature engineering. However, the design of …
A secure biometrics-based multi-server authentication protocol using smart cards
Recently, in 2014, He and Wang proposed a robust and efficient multi-server authentication
scheme using biometrics-based smart card and elliptic curve cryptography (ECC). In this …
scheme using biometrics-based smart card and elliptic curve cryptography (ECC). In this …
Introducing the VoicePrivacy initiative
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for
speech technology by gathering a new community to define the tasks of interest and the …
speech technology by gathering a new community to define the tasks of interest and the …
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
Preech: A system for {Privacy-Preserving} speech transcription
New advances in machine learning have made Automated Speech Recognition (ASR)
systems practical and more scalable. These systems, however, pose serious privacy threats …
systems practical and more scalable. These systems, however, pose serious privacy threats …
[图书][B] Profiling humans from their voice
R Singh - 2019 - Springer
Computational profiling as described in this book differs from prior efforts in one key respect.
The fact that voice is correlated to many human parameters has been known to scientists …
The fact that voice is correlated to many human parameters has been known to scientists …
[PDF][PDF] VoiceGuard: Secure and Private Speech Processing.
With the advent of smart-home devices providing voice-based interfaces, such as Amazon
Alexa or Apple Siri, voice data is constantly transferred to cloud services for automated …
Alexa or Apple Siri, voice data is constantly transferred to cloud services for automated …
Offline model guard: Secure and private ML on mobile devices
Performing machine learning tasks in mobile applications yields a challenging conflict of
interest: highly sensitive client information (eg, speech data) should remain private while …
interest: highly sensitive client information (eg, speech data) should remain private while …