Extraction and utilization of excitation information of speech: A review

SR Kadiri, P Alku, B Yegnanarayana - Proceedings of the IEEE, 2021 - ieeexplore.ieee.org
Speech production can be regarded as a process where a time-varying vocal tract system
(filter) is excited by a time-varying excitation. In addition to its linguistic message, the speech …

Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features

A Mohanta, VK Mittal - Computer Speech & Language, 2022 - Elsevier
Children with autism spectrum disorder (ASD) produce speech sounds different from that of
Normal or non-ASD children. Hence, analyzing acoustic features can help characterizing the …

Analysis and classification of phonation types in speech and singing voice

SR Kadiri, P Alku, B Yegnanarayana - Speech Communication, 2020 - Elsevier
Both in speech and singing, humans are capable of generating sounds of different
phonation types (eg, breathy, modal and pressed). Previous studies in the analysis and …

[PDF][PDF] IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019.

KR Alluri, AK Vuppala - Interspeech, 2019 - isca-archive.org
The ASVspoof 2019 challenge focuses on countermeasures for all major spoofing attacks,
namely speech synthesis (SS), voice conversion (VC), and replay spoofing attacks. This …

[HTML][HTML] Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals

SR Kadiri, F Javanmardi, P Alku - Computer Speech & Language, 2024 - Elsevier
Prior studies in the automatic classification of voice quality have mainly studied the use of
the acoustic speech signal as input. Recently, a few studies have been carried out by jointly …

Disentangled adversarial domain adaptation for phonation mode detection in singing and speech

Y Wang, W Wei, X Gu, X Guan… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Phonation mode detection predicts phonation modes and their temporal boundaries in
singing and speech, holding promise for characterizing voice quality and vocal health …

[PDF][PDF] Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC).

SR Kadiri, B Yegnanarayana - Interspeech, 2018 - researchgate.net
In this study, classification of the phonation modes in singing voice is carried out. Phonation
modes in singing voice can be described using four categories: breathy, neutral, flow and …

Deep neural architectures for dialect classification with single frequency filtering and zero-time windowing feature representations

R Kethireddy, SR Kadiri… - The Journal of the …, 2022 - pubs.aip.org
The goal of this study is to investigate advanced signal processing approaches [single
frequency filtering (SFF) and zero-time windowing (ZTW)] with modern deep neural networks …

Classification of phonation modes in classical singing using modulation power spectral features

M Brandner, PA Bereuter, SR Kadiri… - IEEE Access, 2023 - ieeexplore.ieee.org
In singing, the perceptual term “voice quality” is used to describe expressed emotions and
singing styles. In voice physiology research, specific voice qualities are discussed using the …

[HTML][HTML] Glottal features for classification of phonation type from speech and neck surface accelerometer signals

SR Kadiri, P Alku - Computer Speech & Language, 2021 - Elsevier
Glottal source characteristics vary between phonation types due to the tension of laryngeal
muscles with the respiratory effort. Previous studies in the classification of phonation type …