2024
Assessing accuracy of resonances obtained with reassigned spectrograms from the “ground truth” of physical vocal tract models
Shadle C, Fulop S, Chen W, Whalen D. Assessing accuracy of resonances obtained with reassigned spectrograms from the “ground truth” of physical vocal tract models. The Journal Of The Acoustical Society Of America 2024, 155: 1253-1263. PMID: 38341748, PMCID: PMC10858790, DOI: 10.1121/10.0024548.Peer-Reviewed Original Research
2022
Formants are easy to measure; resonances, not so much: Lessons from Klatt (1986)a)
Whalen D, Chen W, Shadle C, Fulop S. Formants are easy to measure; resonances, not so much: Lessons from Klatt (1986)a). The Journal Of The Acoustical Society Of America 2022, 152: 933-941. PMID: 36050157, PMCID: PMC9374483, DOI: 10.1121/10.0013410.Peer-Reviewed Original Research
2020
Vowel Acoustics and Speech Intelligibility in Young Adults With Down Syndrome.
Carl M, Kent R, Levy E, Whalen D. Vowel Acoustics and Speech Intelligibility in Young Adults With Down Syndrome. Journal Of Speech Language And Hearing Research 2020, 63: 674-687. PMID: 32160481, DOI: 10.1044/2019_jslhr-19-00204.Peer-Reviewed Original ResearchConceptsCorner vowelsVowel productionSingle-word productionSpeech production deficitsAcoustic measurementsIntelligence scoresYoung adultsSpeech intelligibilityDown syndromeLow vowelsVowel centralizationEnglish wordsFormant dataVowel acousticsProduction deficitsVowelsAdult listenersSpeech impairmentSpeech intelligibility scoresAcoustic findingsSpeakersReduced intelligibilitySpeechTD controlsMethod Participants
2019
F0-induced formant measurement errors result in biased variabilities
Chen WR, Whalen DH, Shadle CH. F0-induced formant measurement errors result in biased variabilities. The Journal Of The Acoustical Society Of America 2019, 145: el360-el366. PMID: 31153348, PMCID: PMC6909981, DOI: 10.1121/1.5103195.Peer-Reviewed Original Research
2016
Comparing measurement errors for formants in synthetic and natural vowelsa)
Shadle C, Nam H, Whalen D. Comparing measurement errors for formants in synthetic and natural vowelsa). The Journal Of The Acoustical Society Of America 2016, 139: 713-727. PMID: 26936555, PMCID: PMC4752539, DOI: 10.1121/1.4940665.Peer-Reviewed Original Research
2013
Using automatic alignment to analyze endangered language data: Testing the viability of untrained alignment
DiCanio C, Nam H, Whalen D, Bunnell H, Amith J, García R. Using automatic alignment to analyze endangered language data: Testing the viability of untrained alignment. The Journal Of The Acoustical Society Of America 2013, 134: 2235-2246. PMID: 23967953, PMCID: PMC5392066, DOI: 10.1121/1.4816491.Peer-Reviewed Original ResearchConceptsPhonetic analysisLanguage dataForced alignmentPhone setDocument endangered languagesSpeech processing toolsEndangered languagesCorpus dataTarget languageTraining languageSmall corpusLanguageCorpusDocument corpusAutomatic alignmentProcess of segmentationSegmentation taskAlignment systemAllophonesEnglishSpeechMixtecData setsProcessing toolsContextual