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Assessment of disordered voices based on an optimized glottal source model

Mounir BOUDJERDA, Abdellah KACHA
2017 Turkish Journal of Electrical Engineering and Computer Sciences  
In this paper, a method for the assessment of disordered voices is proposed.  ...  Experimental results show that the proposed method is very effective for assessing the degree of severity of the voice disorder.  ...  The proposed method was tested on a corpus of natural speech including vowel [a] uttered by 251 speakers (normophonic and dysphonic).  ... 
doi:10.3906/elk-1608-324 fatcat:oxgkn3fc5rewzibakiyetfxcze

Automatic Quantification of Vocal Cord Paralysis - An Application of Fibre-optic Endoscopy Video Processing

Radhika Menon, Lykourgos Petropoulakis, John J. Soraghan, Heba Lakany, Kenneth MacKenzie, Omar Hilmi, Gaetano Di Caterina
2017 Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies  
Full movement of the vocal cords is necessary for life sustaining functions.  ...  Our study shows that quantitative assessment can be achieved using optical flow based motion estimation of the opening and closing movements of the vocal cords.  ...  where there may be subtle pathology of a vocal cord affecting its movement.  ... 
doi:10.5220/0006231001080113 dblp:conf/biostec/MenonPSLMHC17 fatcat:qevjfle3wraofgm7a2lfoowdsq

On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease

Juan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss
2021 Conference of the International Speech Communication Association  
We consider as well end-to-end models based on 1D CNNs, which are trained to learn features from the raw speech waveform, reconstructed glottal signals, and zerofrequency filtered signals.  ...  This paper proposes an extensive comparison of different methods to automatically evaluate the severity of specific phonation impairments in Parkinson's patients.  ...  These features are computed for every glottal cycle in segments with 200 ms length in order to measure short-term perturbations of the glottal flow.  ... 
doi:10.21437/interspeech.2021-1084 dblp:conf/interspeech/Vasquez-CorreaF21 fatcat:2agddv4qbrghfcydizibw4br3u

Laryngeal Image Processing of Vocal Folds Motion

Gustavo Andrade-Miranda, Yannis Stylianou, Dimitar D. Deliyski, Juan Ignacio Godino-Llorente, Nathalie Henrich Bernardoni
2020 Applied Sciences  
The review presents an overview of the most significant glottal-gap segmentation and facilitative playbacks techniques used in the literature for the mentioned purpose, and shows the drawbacks and challenges  ...  of the vocal folds, along with a detailed description of the laryngeal image modalities currently used in the clinic.  ...  of parameters and intervals, which are needed to determine the severity of pathological voice production.  ... 
doi:10.3390/app10051556 fatcat:bcukzg5zo5gsrd4umhxw3cmrgu

Acoustic, Myoelectric, and Aerodynamic Parameters of Euphonic and Dysphonic Voices: A Systematic Review of Clinical Studies

Clara Puig-Herreros, José Luis Sanz, Luz Barona, Vicent Rosell-Clari
2021 Applied Sciences  
For many years, the establishment of a consensus on the terminology related to normal and pathological voices has been studied, in order to facilitate the communication between professionals in the field  ...  of the voice.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11178191 fatcat:4ddgclkpebho7ngqehdwffddnm

Lightweight Deep Learning Model for Assessment of Substitution Voicing and Speech after Laryngeal Carcinoma Surgery

Rytis Maskeliūnas, Audrius Kulikajevas, Robertas Damaševičius, Kipras Pribuišis, Nora Ulozaitė-Stanienė, Virgilijus Uloza
2022 Cancers  
We propose using well-known convolutional neural networks (CNNs) applied for image classification for the analysis of voice audio signal.  ...  A database of digital speech recordings of 367 male subjects (279 normal speech samples and 88 pathological speech samples) was used.  ...  Practitioners often rely on expert opinion on the perceived voice quality measurements, classification, and diagnosis of voice pathology.  ... 
doi:10.3390/cancers14102366 pmid:35625971 pmcid:PMC9139213 fatcat:yzhhytvpmrfcxi2tzcq7o44sze

Fonoterapia vocal e fisioterapia respiratória com idosos saudáveis: revisão de literatura

Carla Aparecida Cielo, Fernanda dos Santos Pascotini, Vanessa Veis Ribeiro, Ariane de Macedo Gomes, Léris Salete Bonfanti Haeffner
2016 Revista CEFAC  
Descritores utilizados: physical therapy specialty; breathing; speech therapy; aged; therapeutics e voice.  ...  Descriptors in Health Sciences (DeCS, 2013) selected for the search for articles were: physical therapy specialty; breathing; speech therapy; aged; therapeutics and voice, as well as the terms aging and  ...  A study 35 evaluated the respiratory muscle strength and the peak of expiratory flow before and after the application of the six-week treatment program, consisting of three weekly sessions of 15 minutes  ... 
doi:10.1590/1982-021620161822415 fatcat:s7yveelbo5gvrky7erepd7kkgm

The 13th International Conference on Advances in Quantitative Laryngology, Voice and Speech Research (June 2–4, 2019, Montreal, Quebec, Canada)

2019 Applied Sciences  
The conference and workshops provide a unique opportunity for partnership and collaboration in the advancement of quantitative methods for the measurement and modelling of voice and speech.  ...  voice scientists.  ...  for vowel voicing (at least at the speech planning level).  ... 
doi:10.3390/app9132665 fatcat:xg47la5zkngzxaqe4cdeyv63rq

Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition [chapter]

Gastón Schlotthauer, María E. Torres, Hugo L. Rufiner
2010 Lecture Notes in Computer Science  
We first introduce a method that allows the robust extraction of the fundamental frequency of sustained vowels. Its determination is crucial for pathological voice analysis and diagnosis.  ...  In this paper two new EMD-based methods for the analysis and classification of pathological voices are presented.  ...  In this work, we propose two new methods based on EMD (and its variants) with focus in two pathological voice applications: differential diagnosis and fundamental frequency extraction.  ... 
doi:10.1007/978-3-642-12397-9_32 fatcat:ydtvixvvnzdqlcayeno2lwxoty

Chaos in Voice, From Modeling to Measurement

Jack J. Jiang, Yu Zhang, Clancy McGilligan
2006 Journal of Voice  
Conventional parameters, such as jitter and shimmer, may be unreliable for analysis of periodic and chaotic voice signals.  ...  Chaos theory and nonlinear dynamics can enchance our understanding and therefore our assessment of pathological phonation.  ...  of normal and pathologic voices, and possibly diagnosis of laryngeal pathologies.  ... 
doi:10.1016/j.jvoice.2005.01.001 pmid:15964740 fatcat:53heqq65onb47pla7afepne7gu

International association of logopedics and phoniatrics (IALP) voice committee discussion of assessment topics

Diane M. Bless, Ronald J. Baken, Thomas Hacki, Bjorn Fritzell, John Laver, Harm Schutte, Minoru Hirano, Ernst Loebell, Ingo Titze, Marie-Agnes Faure, Andre Muller, Jürgen Wendler (+5 others)
1992 Journal of Voice  
Its applicability to voice production is somewhat more clouded, however, and issues of vocal efficiency are less easily dealt with.  ...  The pathology of interest is not only in the larynx, but should include anything within the organism that is likely to change voice production.  ... 
doi:10.1016/s0892-1997(05)80133-x fatcat:plfzovtccndx5oj7hffftpq45a

Voice assessment: updates on perceptual, acoustic, aerodynamic, and endoscopic imaging methods

Daryush D Mehta, Robert E Hillman
2008 Current Opinion in Otolaryngology & Head and Neck Surgery  
To Dimitar, thank you for motivating this line of research-to determine the benefits of high-speed imaging that can be translated to the voice clinic.  ...  The group grew out of a desire to form collaborations and maintain the flow of ideas among faculty and students at MGH (Bob, Asa) and Lincoln Laboratory (Tom, Nick and me, as I had just completed my Master's  ...  Figure 4 . 4 8 displays a snapshot of HSV and acoustic descriptors for a male subject with no history of voice disorders. The acoustic fundamental frequency was 136 Hz.  ... 
doi:10.1097/moo.0b013e3282fe96ce pmid:18475073 pmcid:PMC3775647 fatcat:sv7eunp5t5bgjmjju3xk2zzdk4

Acoustic and language analysis of speech for suicidal ideation among US veterans

Anas Belouali, Samir Gupta, Vaibhav Sourirajan, Jiawei Yu, Nathaniel Allen, Adil Alaoui, Mary Ann Dutton, Matthew J. Reinhard
2021 BioData Mining  
Recordings were analyzed to extract voice characteristics including prosodic, phonation, and glottal. The audios were also transcribed to extract textual features for linguistic analysis.  ...  Innovative approaches are necessary to develop objective and clinically applicable assessments.  ...  NAQ (mean) Acoustic (Glottal) Average NAQ is a measure of the glottal flow that can differentiate between a breathy and tense voice.  ... 
doi:10.1186/s13040-021-00245-y pmid:33531048 pmcid:PMC7856815 fatcat:xpms4ennwvaard56uf3hvknn4i

Voice Characteristics in Smith–Magenis Syndrome: An Acoustic Study of Laryngeal Biomechanics

Irene Hidalgo-De la Guía, Elena Garayzábal-Heinze, Pedro Gómez-Vilda
2020 Languages  
We used BioMetPhon, a specific piece of software to analyze the glottal source and biomechanics of vocals folds.  ...  The adult phonation of 9 individuals with SMS was analyzed and compared to 100 normative male and female adult voices.  ...  Acknowledgments: We would like to thank the families of people with SMS for allowing their children to participate in this study.  ... 
doi:10.3390/languages5030031 fatcat:o3r3nrcxrvgdpicngg37wxw4va

AudVowelConsNet: A phoneme-level based deep CNN architecture for clinical depression diagnosis

Muhammad Muzammel, Hanan Salam, Yann Hoffmann, Mohamed Chetouani, Alice Othmani
2020 Machine Learning with Applications  
In this paper, we propose an Artificial Intelligence (AI) based application for clinical depression recognition and assessment from speech.  ...  On the other hand, research in Machine Learning-based automatic recognition of depression from speech focused on the exploration of various acoustic features for the detection of depression and its severity  ...  Such features parameterize the air flow from the lungs through glottis via glottal features (Jiang et al., 2018; Low et al., 2010) , or vocal fold movements via voice quality features.  ... 
doi:10.1016/j.mlwa.2020.100005 fatcat:q5f6pdncijbihbll6mvrlqtcqa
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