Ogden uses data from corpora of natural conversations and identifies similar stretches of talk based on linguistic and pragmatic aspects. Specifically, he identifies instances of agreement and disagreement based on the concept of “assessments” and their structure from the field of Conversation Analysis. Ogden uses a pitch track created in Praat to compare the utterances. He finds that the assessments that agree with a previous opinion by a different speaker use a large pitch span (including some creaky voice), “dynamic pitch contours,” slower tempo, and “tenser articulations” (1762). Overt disagreements also share these aspects but are timed directly on the heels of the first speaker’s utterance. Indirect disagreements padded with an initial weak agreement were produced more quickly and quietly (1767), the weak agreement ending in a low-high contour (1768).
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Monday, February 14, 2011
How we say what we mean
Ogden uses data from corpora of natural conversations and identifies similar stretches of talk based on linguistic and pragmatic aspects. Specifically, he identifies instances of agreement and disagreement based on the concept of “assessments” and their structure from the field of Conversation Analysis. Ogden uses a pitch track created in Praat to compare the utterances. He finds that the assessments that agree with a previous opinion by a different speaker use a large pitch span (including some creaky voice), “dynamic pitch contours,” slower tempo, and “tenser articulations” (1762). Overt disagreements also share these aspects but are timed directly on the heels of the first speaker’s utterance. Indirect disagreements padded with an initial weak agreement were produced more quickly and quietly (1767), the weak agreement ending in a low-high contour (1768).
Sunday, January 30, 2011
A recent study of creaky voice

Yuasa. (2010). Creaky voice: A new feminine voice quality for young urban oriented upwardly mobile American women? American Speech. 85(3): 315-337.
Yuasa counts creaky voice at the word level, in a 401-word sample taken randomly from each recording. She locates creak auditorily and confirms her assessment using the program Praat to look at the waveforms and spectrograms of the words. For her statistical assessment of the data, Yuasa uses a t-test. She finds that the differences between the American female speakers and the American men (p = 0.0133) and the American female speakers and the Japanese female speakers (p = 0.0267) is significant; American women have a higher rate of use of creak.
The perception study includes 175 college students in both Northern California and Eastern Iowa who listened to and responded to questions about audio files online (one modal voice recording and one creaky voice recording from the same female speaker). Then they were asked 1.) if they heard the second type of voice (creak) a lot where they live and 2.) what traits the women in the recordings project just with their voice and 3) to rate the women's characteristics based on their voice quality with predetermined binary choices such as formal versus informal.
Many of the participants in the survey remarked that they often heard creak where they lived and that the voice type suggests the following attributes: hesitant, informal, non-aggressive, as well as educated, professional and urban. Yuasa suggests that young American women may be using creaky voice more to continue the trend of “lowering” their voices to reappropriate creak as portraying the contemporary, urban and upwardly-mobile woman.
While the above study is thought-provoking and Yuasa's analysis is intriguing, saying that creaky voice indexes numerous characteristics at once (based on survey questions that gave participants binary choices, perhaps forcing some responses) for American women in general is an ambitious claim that requires much more research, especially since the social meaning of creaky voice and women has only recently been a topic of study.