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 …

Biometric recognition of infants using fingerprint, iris, and ear biometrics

Y Moolla, A De Kock, G Mabuza-Hocquet… - IEEE …, 2021 - ieeexplore.ieee.org
Biometric recognition is often used for adults for a variety of purposes where an individual's
identity must be ascertained. However, the biometric recognition of children is an unsolved …

Assessment of pitch-adaptive front-end signal processing for children's speech recognition

R Sinha, S Shahnawazuddin - Computer Speech & Language, 2018 - Elsevier
On account of large acoustic mismatch, automatic speech recognition (ASR) systems trained
using adults' speech data yield poor recognition performance when evaluated on children's …

In-domain and out-of-domain data augmentation to improve children's speaker verification system in limited data scenario

S Shahnawazuddin, W Ahmad… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
In this paper, we present our efforts towards developing a robust automatic speaker
verification (ASV) system for children when the domain-specific data is limited. For that …

Augmentation techniques for adult-speech to generate child-like speech data samples at scale

MY Yiwere, A Barcovschi, R Jain, H Cucu… - IEEE …, 2023 - ieeexplore.ieee.org
Technologies such as Text-To-Speech (TTS) synthesis and Automatic Speech Recognition
(ASR) have become important in providing speech-based Artificial Intelligence (AI) solutions …

Children's speaker verification in low and zero resource conditions

S Shahnawazuddin, W Ahmad, N Adiga… - Digital Signal …, 2021 - Elsevier
Our efforts towards developing an automatic speaker verification (ASV) system for child
speakers are presented in this paper. For the majority of the languages, children's speech …

Bi-apc: Bidirectional autoregressive predictive coding for unsupervised pre-training and its application to children's asr

R Fan, A Afshan, A Alwan - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
We present a bidirectional unsupervised model pre-training (UPT) method and apply it to
children's automatic speech recognition (ASR). An obstacle to improving child ASR is the …

ChildAugment: Data augmentation methods for zero-resource children's speaker verification

VP Singh, M Sahidullah, T Kinnunen - The Journal of the Acoustical …, 2024 - pubs.aip.org
The accuracy of modern automatic speaker verification (ASV) systems, when trained
exclusively on adult data, drops substantially when applied to children's speech. The …

[PDF][PDF] Unsupervised model selection for recognition of regional accented speech

M Najafian, A DeMarco, S Cox… - … annual conference of the …, 2014 - cmp.uea.ac.uk
This paper is concerned with automatic speech recognition (ASR) for accented speech.
Given a small amount of speech from a new speaker, is it better to apply speaker adaptation …

Automatic speaker and age identification of children from raw speech using sincNet over ERB scale

K Radha, M Bansal, RB Pachori - Speech Communication, 2024 - Elsevier
This paper presents the newly developed non-native children's English speech (NNCES)
corpus to reveal the findings of automatic speaker and age recognition from raw speech …