Acoustic–phonetic analysis for speech recognition: A review

BD Sarma, SRM Prasanna - IETE Technical Review, 2018 - Taylor & Francis
This paper reviews the literature related to the acoustic–phonetic analysis of speech and the
speech recognition approaches that use these types of knowledge. At first, acoustic …

Speech/music classification using speech-specific features

BK Khonglah, SRM Prasanna - Digital Signal Processing, 2016 - Elsevier
This paper proposes the use of speech-specific features for speech/music classification.
Features representing the excitation source, vocal tract system and syllabic rate of speech …

[PDF][PDF] Estimation of Hypernasality Scores from Cleft Lip and Palate Speech.

CM Vikram, A Tripathi, S Kalita, SRM Prasanna - Interspeech, 2018 - researchgate.net
Hypernasality refers to the perception of excessive nasal resonances in vowels and voiced
consonants. Existing speech processing based approaches concentrate only on the …

Importance of supra-segmental information and self-supervised framework for spoken language diarization task

J Mishra, SRM Prasanna - International Conference on Speech and …, 2022 - Springer
Spoken language diarization (LD) is a task of automatically extracting the monolingual
segments present in a given code-switched utterance. Generally in the bilingual code …

Glottal activity detection from the speech signal using multifractal analysis

G Jyothish Lal, EA Gopalakrishnan… - Circuits, Systems, and …, 2020 - Springer
This work proposes a novel method for the detection of glottal activity regions from the
speech signal. Glottal activity detection refers to the problem of discriminating voiced and …

Effect of Modeling Glottal Activity Parameters on Zero-Shot Children's ASR

S Shahnawazuddin - IEEE/ACM Transactions on Audio …, 2024 - ieeexplore.ieee.org
The primary objective of this study is to enhance the recognition performance of zero-shot
children's automatic speech recognition (ASR) task. In such a setup, statistical models are …

Analyzing the vocal tract characteristics for out-of-breath speech

S Sahoo, S Dandapat - The Journal of the Acoustical Society of …, 2021 - pubs.aip.org
In this work, vocal tract characteristic changes under the out-of-breath condition are
explored. Speaking under the influence of physical exercise is called out-of-breath speech …

[PDF][PDF] Zero Frequency Filter Based Analysis of Voice Disorders.

N Adiga, CM Vikram, K Pullela, SRM Prasanna - Interspeech, 2017 - isca-archive.org
Pitch period and amplitude perturbations are widely used parameters to discriminate normal
and voice disorder speech. Instantaneous pitch period and amplitude of glottal vibrations …

Effect of Modeling Glottal Activity Parameters on Zero-Shot Children's ASR

Ankita, Shambhavi, S Shahnawazuddin - IEEE/ACM Transactions on …, 2024 - dl.acm.org
The primary objective of this study is to enhance the recognition performance of zero-shot
children's automatic speech recognition (ASR) task. In such a setup, statistical models are …

Improved voicing decision using glottal activity features for statistical parametric speech synthesis

N Adiga, BK Khonglah, SRM Prasanna - Digital Signal Processing, 2017 - Elsevier
A method to improve voicing decision using glottal activity features proposed for statistical
parametric speech synthesis. In existing methods, voicing decision relies mostly on …