The contribution of intonation, segmental durations, and spectral features to the perception of a spontaneous and a read speaking style

Laan, Gitta P. M.

doi:10.1016/s0167-6393(97)00012-5

Cited by 105 publications

(60 citation statements)

References 20 publications

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“…Third, some spontaneous contours were flatter and showed less declination, which provides converging evidence to previous findings, e.g., Laan (1997), de Moraes (1999) for Brazilian Portuguese, and Tøndering (2011) for Danish. This is explained by the fact that less planning is involved in spontaneous speech.…”

Section: Resultssupporting

confidence: 88%

“…Generally, in more spontaneous styles, the contour has a lower mean F0 (Morris Haynes, White, and Mattys, 2015;Swerts, Stranger, and Heldner, 1996 for Swedish), is flatter (Tøndering, 2011 for Danish), has more phrase-final rises (Silverman, et al, 1992;Blaauw, 1994;Morris Haynes, White, and Mattys, 2015;Mixdorff and Pfitzinger, 2005 for German), and shows less declination and/or final lowering (Lieberman, et al, 1985;Laan, 1997;de Moraes, 1999 for Brazilian Portuguese; Face, 2003 for Spanish;Fuchs, et al, 2015 for German). Spontaneous style also exhibits more phrase-final lengthening (White, et al, 2010;Markó and Kohári, 2015 for Hungarian) and faster speech rate (Laan, 1997;Furui, et al, 2005 for Japanese; Yeung, et al, 2008 for Mandarin;Dellwo, Leeman, and Kolly, 2015 for Swiss German). There are fewer, shorter, and more regular pauses and fewer disfluencies, e.g., repetitions or deletions, in read speech (Howell and Kadi-Hanifi, 1991;Silverman, et al, 1992;Megyesi and GustafsonČapková, 2002 for Swedish;Wang, Li, and Yuan, 2008 for Mandarin).…”

Section: Introductionmentioning

confidence: 99%

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Intonation of Persian declaratives: Read vs. spontaneous speech

Sadat‐Tehrani

2017

Questions and Answers in Linguistics

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This paper is an introductory investigation, comparing the intonation of Persian declaratives in read and spontaneous speech styles. The results indicate that 32% of the 254 spontaneous declaratives studied show one or more of the following intonational differences: a high or downstepped high tone at Intonational Phrase end, marking the incompleteness of the message; the existence of more pauses leading to a greater number of Intonational Phrases, pre-pause vowel lengthening, and pitch reset; a flatter contour and less pitch variation caused by a speaker's boredom or givenness of the information content; an initial high boundary tone resulted from a low degree of assertiveness.Keywords: intonation, prosody, Persian, read speech, spontaneous speech, pitch track IntroductionThis research reports some preliminary observations regarding the differences between the intonational properties of read and spontaneous speech in Persian. In studies that make use of read speech (also known as lab speech), the speaker is provided with the written version of the test materials and is possibly given some instructions as to how to read them. This type of speech is usually elicited in a laboratory setting and done for a specific linguistic purpose. Spontaneous speech refers to utterances produced without any external stimulus, e.g., a natural conversation carried out between two interlocutors. The aim of this paper is to shed some light on the intonational differences between the two styles. The research on Persian intonation done in the autosegmental-metrical (AM) framework of intonation (Bruce, 1977;Pierrehumbert, 1980;Ladd, 2008) has so far implemented controlled speech (Mahjani, 2003;Jun, et al., 2003;Sadat-Tehrani, 2007;Taheri and Xu, 2012;Hosseini, 2014;and Rahmani, Rietveld, and Gussenhoven, 2016), and to the best of my knowledge, there has not been any documentation on the distinguishing characteristics of read and spontaneous speech. This paper is an initial investigation of this issue.The present paper does not intend to argue for the use of spontaneous over read data; although the use of read speech has been criticized as unnatural and unrepresentative of real speech, it has its own merit. For instance, in a laboratory setting, the researcher has full control over many variables and determines their effect on intonation patterns, which is not the case when studying unscripted speech. Also, spontaneous data may not always contain all the structures that the researcher plans to investigate -for more arguments in favour of lab speech see Xu (2010). The view here, in line with that in Wagner, Trouvain, and Zimmerer (2015), is that making use of Unauthenticated Download Date | 5/11/18 2:06 PM

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Intonation of Persian declaratives: Read vs. spontaneous speech

Sadat‐Tehrani

2017

Questions and Answers in Linguistics

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“…This speech is also characterized by hesitations, false starts and filled pauses which might have a strong influence on articulatory control. 18 • Further research is needed to examine, for example, how intensity contours are affected by different forms of signal distortions, especially distortion that can directly affect amplitude envelopes non-linearly, such as dynamic range compressions.…”

Section: Lei He Andmentioning

confidence: 99%

Between-speaker variability in temporal organizations of intensity contours

Dellwo

2017

The Journal of the Acoustical Society of America

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Intensity contours of speech signals were sub-divided into positive and negative dynamics. Positive dynamics were defined as the speed of increases in intensity from amplitude troughs to subsequent peaks, and negative dynamics as the speed of decreases in intensity from peaks to troughs. Mean, standard deviation, and sequential variability were measured for both dynamics in each sentence. Analyses showed that measures of both dynamics were separately classified and between-speaker variability was largely explained by measures of negative dynamics. This suggests that parts of the signal where intensity decreases from syllable peaks are more speaker-specific. Idiosyncratic articulation may explain such results. Abstract: Intensity contours of speech signals were sub-divided into positive and negative dynamics. Positive dynamics were defined as the speed of increases in intensity from amplitude troughs to subsequent peaks, and negative dynamics as the speed of decreases in intensity from peaks to troughs. Mean, standard deviation, and sequential variability were measured for both dynamics in each sentence. Analyses showed that measures of both dynamics were separately classified and betweenspeaker variability was largely explained by measures of negative dynamics. This suggests that parts of the signal where intensity decreases from syllable peaks are more speaker-specific. Idiosyncratic articulation may explain such results.

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“…It is still not clear which cues enable the listeners to make a distinction between different styles. Studying on different types of speaking style helps to better understand the process of speech production and perception [4,9,15]. Therefore, areas like speech synthesis, speech recognition and verbal behavior analysis can benefit from speaking style analysis.…”

Section: Prosody: Spotting Journalists In Broadcast Datamentioning

confidence: 99%

More Than Words: Inference of Socially Relevant Information from Nonverbal Vocal Cues in Speech

Vinciarelli

Salamin

Mohammadi

et al. 2011

Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues

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Abstract. This paper presents two examples of how nonverbal communication can be automatically detected and interpreted in terms of social phenomena. In particular, the presented approaches use simple prosodic features to distinguish between journalists and non-journalists in media, and extract social networks from turn-taking to recognize roles in different interaction settings (broadcast data and meetings). Furthermore, the article outlines some of the most interesting perspectives in this line of research.

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The contribution of intonation, segmental durations, and spectral features to the perception of a spontaneous and a read speaking style

Cited by 105 publications

References 20 publications

Intonation of Persian declaratives: Read vs. spontaneous speech

Intonation of Persian declaratives: Read vs. spontaneous speech

Between-speaker variability in temporal organizations of intensity contours

More Than Words: Inference of Socially Relevant Information from Nonverbal Vocal Cues in Speech

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