Dynamic Characteristics of Voice Fundamental Frequency in Speech and Singing

Fujisaki, Hiroya

doi:10.1007/978-1-4613-8202-7_3

Cited by 143 publications

(102 citation statements)

References 4 publications

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“…Also in the current implementation of TD stiffness represented by  is treated as a free parameter to be optimized, which deviates from the previous practice of allowing only discrete levels of stiffness [14,16], except when it is used for controlling duration for boundary marking [17]. In CR the onset and offset of accent/tone commands are both free parameters to be determined through analysis by synthesis in the model fitting [18]. In [1,11], however, it is found that in both Mandarin and Cantonese, the onset and offset of tone commands are closely aligned to rhyme boundaries.…”

Section: Discussionmentioning

confidence: 98%

Speech Prosody 2016

2016

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This paper introduces the Common Prosody Platform (CPP), a computational platform that implements major theories and models of prosody. CPP aims at a) adapting theory-specific assumptions into computational algorithms that can generate surface prosodic forms, and b) making all the models trainable through global optimization based on automatic analysis-bysynthesis learning. CPP allows examination of prosody in much finer detail than has been previously done and provides a means for speech scientists to directly compare theories and their models. So far, four theories have been included in the platform, the Command-Response model, the AutosegmentalMetrical theory, the Task Dynamic model, and the Parallel Encoding and Target Approximation model. Preliminary tests show that all the implemented models can achieve good local contour fitting with low errors and high correlations.

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Section: Discussionmentioning

confidence: 98%

Speech Prosody 2016

2016

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“…Intonational phonology also provides a framework from which local and global prosodic features can be understood (e.g., Fujisaki, 1983;Ladd, 1996). In the autosegmental-metrical (AM) approach, local cues roughly map onto what are called events, and these discrete events are strung together into structured contours.…”

Section: Introductionmentioning

confidence: 99%

“…The most important events in a tonal string are pitch accents (associated with prominent syllables within segments) and edge tones (events on the edge of segments) and they manifest as speech melody that can be transcribed according to their movement associated with phrasal structure. Fujisaki (1983) developed a model of intonation that distinguishes between accent commands and phrase commands. These commands are implemented by functionally distinct mechanisms that send their outputs to a glottal oscillation mechanism that ultimately controls a final F0 contour.…”

Section: Introductionmentioning

confidence: 99%

Is there an Ironic Tone of Voice?

2005

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Research on nonverbal vocal cues and verbal irony has often relied on the concept of an ironic tone of voice. Here we provide acoustic analysis and experimental evidence that this notion is oversimplified and misguided. Acoustic analyses of spontaneous ironic speech extracted from talk radio shows, both ambiguous and unambiguous in written form, revealed only a difference in amplitude variability compared to matched nonironic speech from the same sources, and that was only among the most clear-cut items. In a series of experiments, participants rated content-filtered versions of the same ironic and nonironic utterances on a range of affective and linguistic dimensions. Listeners did not rely on any set of vocal cues to identify verbal irony that was separate from other emotional and linguistic judgments. We conclude that there is no particular ironic tone of voice and that listeners interpret verbal irony by combining a variety of cues, including information outside of the linguistic context.

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“…Fujisaki explained that logarithmic fundamental frequency varies linearly with vocal-fold elongation x (Fujisaki, 1983), which can be represented in the following mathematical term:…”

Section: Structural Modelmentioning

confidence: 99%

Structural Modeling of Fundamental Frequency Contour for Thai Expressive Speech

Chomphan¹

2010

Journal of Computer Science

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Problem statement: Appropriate modeling of fundamental Frequency (F 0 ) contour for speech is a key factor to preserve the quality of speech prosody. One successful approach has been conducted for tonal language of Mandarin Chinese. It is based on the assumption that the behavioral characteristics of vocal-fold elongation in vibration could be approximated by those of a simple forced vibrating system. Therefore this approach has been applied to model Thai expressive speech with bestfit function. Approach: An approach of structural modeling of voice F 0 contours of Thai expressive speech utterances using an approximation by those of a simple forced vibrating system has been conducted. Nowadays, modeling of F 0 contours of Thai expressive speech is very important in an analysis of speech, which brings about the speech communication with more interesting and effective. Our speech database consists of male and female speech and each one contains 4 different speech styles including angry style, sad style and enjoyable style and reading style. We use 5 sentences for each speech style and each sentence includes 100 samples. The speech sample in each group is analyzed for an F 0 contour, subsequently a number of structural modeling parameters are extracted for each contour. Thereafter, the parameters are used to synthesis the F 0 contour and then the synthesized contour is compared with that of natural speech by calculating RMS error. Results: From the experimental analysis, it is observed that RMS error of each speech style is different from the others. It reveals that the mentioned structural modeling responses to each speech style differently. Moreover the reading style has the smallest error among all styles. Conclusion: From the finding, it is a definite evidence to apply the modeling approach to the speech synthesis systems with good preservation of speech prosody.

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Dynamic Characteristics of Voice Fundamental Frequency in Speech and Singing

Cited by 143 publications

References 4 publications

Speech Prosody 2016

Speech Prosody 2016

Is there an Ironic Tone of Voice?

Structural Modeling of Fundamental Frequency Contour for Thai Expressive Speech

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