Speech and speaker recognition using raw waveform modeling for adult and children's speech: A comprehensive review

K Radha, M Bansal, RB Pachori - Engineering Applications of Artificial …, 2024 - Elsevier
Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

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 …

Automated prediction of children's age from voice acoustics

M Novotny, R Cmejla, T Tykalova - Biomedical Signal Processing and …, 2023 - Elsevier
The emergence of a variety of applications aimed at video gaming, parental control,
education, specific language impairment, child development assessment, and speech …

Transfer learning in speaker's age and gender recognition

M Markitantov - Speech and Computer: 22nd International Conference …, 2020 - Springer
In this paper, we study an application of transfer learning approach to speaker's age and
gender recognition task. Recently, speech analysis systems, which take images of log Mel …

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 …

Convolutional and Deep Neural Networks based techniques for extracting the age-relevant features of the speaker

K Kuppusamy, C Eswaran - Journal of Ambient Intelligence and …, 2022 - Springer
With the advent of conversational voice recognition systems such as Alexa, SIRI, OK Google,
etc., natural language conversational scheme including Chatbot and voice recognition …

The automated screening of speech motor development in children based on the sequential motion rate

R Cmejla, M Novotny, J Rusz, T Tykalova, J Vimr… - Computers in Biology …, 2023 - Elsevier
Background Motor skills in children have traditionally been examined via challenging
speech tasks such as syllable repetition, and calculating the syllabic rate using a stopwatch …

Phone duration modeling for speaker age estimation in children

PG Shivakumar, S Bishop, C Lord… - The Journal of the …, 2022 - pubs.aip.org
Automatic inference of paralinguistic information from speech, such as age, is an important
area of research with many technological applications. Speaker age estimation can help …

Laughter signature, a new approach to gender recognition

CO Folorunso, OP Popoola, OS Asaolu - Engineering Reports, 2020 - Wiley Online Library
Gender Recognition (GR) is the process of identifying gender difference by extracting and
evaluating features from data existing as images, video, audio, text, and other signals. The …

Framework for Gender Recognition Using Facial Features by Using Deep Learning

S Choudhary, M Agarwal - … Conference on Image Processing and Capsule …, 2022 - Springer
This research work discusses about the proposed Framework for Gender Recognition for
using Facial Features by Using Deep Learning over row data. Gender Classification is done …