ArticleThe Journal of the Acoustical Society of America2019
Automatic speech and singing classification in ambulatory recordings for normal and disordered voices.
Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Measuring Vocal Efficiency in Daily Life in Patients with Voice Disorders Using Wireless Accelerometer and Microphone Sensors.Interspeech · 2026Article
- Patient-Centered Approach to Assessing Voice Impairment.JAMA otolaryngology-- head & neck surgery · 2025Article
- Speech Detection via Respiratory Inductance Plethysmography, Thoracic Impedance, Accelerometers, and Gyroscopes: A Machine Learning-Informed Comparative Study.Psychophysiology · 2025Article
- Comparing ambulatory voice measures during daily life with brief laboratory assessments in speakers with and without vocal hyperfunction.Interspeech · 2024Article
- Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer Signals.Journal of voice : official journal of the Voice Foundation · 2022Article
- Amount and Characteristics of Speaking and Singing Voice Use in Vocally Healthy Female College Student Singers During a Typical Week.Journal of voice : official journal of the Voice Foundation · 2022Article
- Relationships Among Personality, Daily Speaking Voice Use, and Phonotrauma in Adult Female Singers.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Towards a Singing Voice Multi-Sensor Analysis Tool: System Design, and Assessment Based on Vocal Breathiness.Sensors (Basel, Switzerland) · 2021Article
- Changes in the Daily Phonotrauma Index Following the Use of Voice Therapy as the Sole Treatment for Phonotraumatic Vocal Hyperfunction in Females.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Differences Between Female Singers With Phonotrauma and Vocally Healthy Matched Controls in Singing and Speaking Voice Use During 1 Week of Ambulatory Monitoring.American journal of speech-language pathology · 2021Article
- Changes in a Daily Phonotrauma Index After Laryngeal Surgery and Voice Therapy: Implications for the Role of Daily Voice Use in the Etiology and Pathophysiology of Phonotraumatic Vocal Hyperfunction.Journal of speech, language, and hearing research : JSLHR · 2020Article
- Ambulatory monitoring of Lombard-related vocal characteristics in vocally healthy female speakers.The Journal of the Acoustical Society of America · 2020Article
- Differences in Weeklong Ambulatory Vocal Behavior Between Female Patients With Phonotraumatic Lesions and Matched Controls.Journal of speech, language, and hearing research : JSLHR · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 2 countries.
Funding
Abstract
Ambulatory voice monitoring is a promising tool for investigating phonotraumatic vocal hyperfunction (PVH), associated with the development of vocal fold lesions. Since many patients with PVH are professional vocalists, a classifier was developed to better understand phonatory mechanisms during speech and singing. Twenty singers with PVH and 20 matched healthy controls were monitored with a neck-surface accelerometer-based ambulatory voice monitor. An expert-labeled ground truth data set was used to train a logistic regression on 15 subject-pairs with fundamental frequency and autocorrelation peak amplitude as input features. Overall classification accuracy of 94.2% was achieved on the held-out test set.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.