[PDF][PDF] A review of speech-centric trustworthy machine learning: Privacy, safety, and fairness
Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …
industries ranging from transportation and healthcare to education and defense …
[PDF][PDF] A review on voice-based interface for human-robot interaction
AA Badr, AK Abdul-Hassan - Iraqi Journal for Electrical and Electronic …, 2020 - iasj.net
With the recent developments of technology and the advances in artificial intelligence and
machine learning techniques, it has become possible for the robot to understand and …
machine learning techniques, it has become possible for the robot to understand and …
Closed-set automatic speaker identification using multi-scale recurrent networks in non-native children
Children may benefit from automatic speaker identification in a variety of applications,
including child security, safety, and education. The key focus of this study is to develop a …
including child security, safety, and education. The key focus of this study is to develop a …
On the difficulties of automatic speech recognition for kindergarten-aged children
Automatic speech recognition (ASR) systems for children have lagged behind in
performance when compared to adult ASR. The exact problems and evaluation methods for …
performance when compared to adult ASR. The exact problems and evaluation methods for …
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 …
Digital age of consent and age verification: Can they protect children?
L Pasquale, P Zippo, C Curley, B O'Neill… - IEEE …, 2020 - ieeexplore.ieee.org
Digital Age of Consent and Age Verification: Can They Protect Children? Page 1 0740-7459 (c)
2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE …
2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE …
Feature fusion and ablation analysis in gender identification of preschool children from spontaneous speech
The children below 6 years of age are called preliterate who use speech as one of their
primary forms of communication. Fundamental frequency or pitch is a characteristic that is …
primary forms of communication. Fundamental frequency or pitch is a characteristic that is …
Towards modeling raw speech in gender identification of children using sincNet over ERB scale
This article reveals the results of age-dependent gender identification from raw speech
using the recently developed non-native children's English speech corpus. Convolutional …
using the recently developed non-native children's English speech corpus. Convolutional …
[PDF][PDF] An appraisal on speech and emotion recognition technologies based on machine learning
CA Jason, S Kumar - language, 2020 - academia.edu
In earlier days, people used speech as a means of communication or the way a listener is
conveyed by voice or expression. But the idea of machine learning and various methods are …
conveyed by voice or expression. But the idea of machine learning and various methods are …
Bird species recognition using unsupervised modeling of individual vocalization elements
P Jancovic, M Köküer - IEEE/ACM transactions on audio …, 2019 - ieeexplore.ieee.org
This paper investigates acoustic modeling for recognition of bird species from audio field
recordings. First, the acoustic scene is decomposed into isolated segments, corresponding …
recordings. First, the acoustic scene is decomposed into isolated segments, corresponding …