[PDF][PDF] A review of speech-centric trustworthy machine learning: Privacy, safety, and fairness

T Feng, R Hebbar, N Mehlman, X Shi… - … on Signal and …, 2023 - nowpublishers.com
Speech-centric machine learning systems have revolutionized a number of leading
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 …

Closed-set automatic speaker identification using multi-scale recurrent networks in non-native children

K Radha, M Bansal - International Journal of Information Technology, 2023 - Springer
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 …

On the difficulties of automatic speech recognition for kindergarten-aged children

G Yeung, A Alwan - Interspeech 2018, 2018 - par.nsf.gov
Automatic speech recognition (ASR) systems for children have lagged behind in
performance when compared to adult ASR. The exact problems and evaluation methods for …

Preech: A system for {Privacy-Preserving} speech transcription

S Ahmed, AR Chowdhury, K Fawaz… - 29th USENIX Security …, 2020 - usenix.org
New advances in machine learning have made Automated Speech Recognition (ASR)
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 …

Feature fusion and ablation analysis in gender identification of preschool children from spontaneous speech

K Radha, M Bansal - Circuits, Systems, and Signal Processing, 2023 - Springer
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 …

Towards modeling raw speech in gender identification of children using sincNet over ERB scale

K Radha, M Bansal - International Journal of Speech Technology, 2023 - Springer
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 …

[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 …

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 …