Concept

Vocal pedagogy

Related publications (19)

Adjustable deterministic pseudonymization of speech

Mathew Magimai Doss, Subrahmanya Pavankumar Dubagunta

While public speech resources become increasingly available, there is a growing interest to preserve the privacy of the speakers, through methods that anonymize the speaker information from speech while preserving the spoken linguistic content. In this pap ...
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2022

Audio Feature Extraction with Convolutional Neural Autoencoders with Application to Voice Conversion

Golnooshsadat Elhami

Feature extraction is a key step in many machine learning and signal processing applications. For speech signals in particular, it is important to derive features that contain both the vocal characteristics of the speaker and the content of the speech. In ...
2019

Learning voice source related information for depression detection

Subrahmanya Pavankumar Dubagunta

During depression neurophysiological changes can occur, which may affect laryngeal control i.e. behaviour of the vocal folds. Characterising these changes in a precise manner from speech signals is a non trivial task, as this typically involves reliable se ...
IEEE2019

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Selen Hande Kabil, Subrahmanya Pavankumar Dubagunta

Children speech recognition based on short-term spectral features is a challenging task. One of the reasons is that children speech has high fundamental frequency that is comparable to formant frequency values. Furthermore, as children grow, their vocal ap ...
IEEE2019

Phonetic aware techniques for Speaker Verification

Subhadeep Dey

The goal of this thesis is to improve current state-of-the-art techniques in speaker verification (SV), typically based on “identity-vectors” (i-vectors) and deep neural network (DNN), by exploiting diverse (phonetic) information extracted using variou ...
EPFL2018

Intonation Modelling for Speech Synthesis and Emphasis Preservation

Pierre-Edouard Jean Charles Honnet

Speech-to-speech translation is a framework which recognises speech in an input language, translates it to a target language and synthesises speech in this target language. In such a system, variations in the speech signal which are inherent to natural hum ...
EPFL2017

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features

Milos Cernak

Change in voice quality (VQ) is one of the first precursors of Parkinson's disease (PD). Specifically, impacted phonation and articulation causes the patient to have a breathy, husky-semiwhisper and hoarse voice. A goal of this paper is to characterize a V ...
Idiap2017

Neural Decoding of Discriminative Auditory Object Features Depends on Their Socio-Affective Valence

Melissa Saenz, Wietske Van der Zwaag

Human voices consist of specific patterns of acoustic features that are considerably enhanced during affective vocalizations. These acoustic features are presumably used by listeners to accurately discriminate between acoustically or emotionally similar vo ...
Oxford University Press (OUP)2016

Inter-limb coordination and energy cost in swimming

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

Objectives: This study investigated the relationship between inter-arm coordination and the energy cost of locomotion in front crawl and breaststroke and explored swimmers’ flexibility in adapting their motor organization away from their preferred movement ...
Elsevier2014

Joint Source-Filter Optimization for Accurate Vocal Tract Estimation Using Differential Evolution

Jean-Marc Vesin, Olaf Schleusing

In this work, we present a joint source-filter optimization approach for separating voiced speech into vocal tract (VT) and voice source components. The presented method is pitch-synchronous and thereby exhibits a high robustness against vocal jitter, shim ...
Ieee-Inst Electrical Electronics Engineers Inc2013

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.