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
2012
Lexical effects on the perception of /l/ allophones in English
Whalen D, Beller-Marino Y, Kakadelis S, Dawson K, Best C, Irwin J. Lexical effects on the perception of /l/ allophones in English. The Journal Of The Acoustical Society Of America 2012, 132: 2053-2053. DOI: 10.1121/1.4755557.Peer-Reviewed Original ResearchEnglish wordsLexical effectsMonosyllabic English wordsSyllable codaEnglish utterancesPhonotactic rulesSyllable positionLexical statusAllophonesWordsNonwordsFrequency of occurrenceItemsPronunciationPhoneticiansEnglishUtterancesPerceptionPseudowordsListenersCodaPrevious workLikert scaleVersionRepresentation
1987
Qualitative separateness in children's speech
Nittrouer S, Whalen D. Qualitative separateness in children's speech. The Journal Of The Acoustical Society Of America 1987, 82: s84-s84. DOI: 10.1121/1.2025025.Peer-Reviewed Original ResearchChildren's speechVowel contextsFricative noiseAdult speechChild speakersPhonetic unitsFricative identificationAcoustic differencesF2 frequenciesAdult listenersAcoustic analysisListenersSpeechGross spectrumPerceptual segmentationAcoustic informationSyllablesYoung childrenAdultsChildrenAllophonesVowelsSpeakersContextHypothesis