[PDF][PDF] Comparison of speaker dependent and speaker independent emotion recognition

J Rybka, A Janicki - International Journal of Applied Mathematics and …, 2013 - sciendo.com
This paper describes a study of emotion recognition based on speech analysis. The
introduction to the theory contains a review of emotion inventories used in various studies of …

Influences of languages in speech emotion recognition: A comparative study using malay, english and mandarin languages

R Rajoo, CC Aun - 2016 IEEE Symposium on Computer …, 2016 - ieeexplore.ieee.org
Emotion recognition plays a significant role in affective computing and adds value to
machine intelligence. While the emotional state of a person can be manifested in different …

An algorithm for detection of breath sounds in spontaneous speech with application to speaker recognition

SH Dumpala, KR Alluri - … , SPECOM 2017, Hatfield, UK, September 12-16 …, 2017 - Springer
Automatic detection and demarcation of non-speech sounds in speech is critical for
developing sophisticated human-machine interaction systems. The main objective of this …

Haha-POD: An Attempt for Laughter-Based Non-Verbal Speaker Verification

Y Lin, X Qin, N Jiang, G Zhao… - 2023 IEEE Automatic …, 2023 - ieeexplore.ieee.org
It is widely acknowledged that discriminative representation for speaker verification can be
extracted from verbal speech. However, how much speaker information that non-verbal …

Improved speaker recognition system for stressed speech using deep neural networks

SH Dumpala, SK Kopparapu - 2017 International Joint …, 2017 - ieeexplore.ieee.org
Good speaker recognition systems should identify the speaker irrespective of what is
spoken, including non-speech sounds that are often produced during natural conversations …

Vietnamese Speaker Verification with Mel-scale Filter Bank Energies and Deep Learning

DD Nguyen, CM Luong - IEEE Access, 2024 - ieeexplore.ieee.org
Mel-Frequency Cepstral Coefficients (MFCCs) have been extensively used as input for
many traditional and modern speech processing systems. The power of MFCCs lies in the …

[PDF][PDF] Non-linguistic vocalisation recognition based on hybrid GMM-SVM approach.

A Janicki - INTERSPEECH, 2013 - isca-archive.org
This paper describes an algorithm for detection of nonlinguistic vocalisations, such as
laughter or fillers, based on acoustic features. The algorithm proposed combines the …

[PDF][PDF] Is speech emotion recognition language-independent? Analysis of English and Bangla languages using language-independent vocal features

H Saad, F Mahmud, M Shaheen, M Hasan… - arXiv preprint arXiv …, 2021 - academia.edu
A language agnostic approach to recognizing emotions from speech remains an incomplete
and challenging task. In this paper, we used Bangla and English languages to assess …

A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features

F Saad, H Mahmud, MR Kabir, MA Shaheen… - arXiv preprint arXiv …, 2021 - arxiv.org
A language agnostic approach to recognizing emotions from speech remains an incomplete
and challenging task. In this paper, we performed a step-by-step comparative analysis of …

[PDF][PDF] Analysis of the Effect of Speech-Laugh on Speaker Recognition System.

SH Dumpala, A Panda, SK Kopparapu - Interspeech, 2018 - researchgate.net
A robust speaker recognition system should be able to recognize a speaker despite all the
possible variations in speaker's speech. A common variation of the neutral speech is …