why a rising tone is falling in mandarin sentences
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Why a Rising Tone is Falling in Mandarin Sentences. Word Accents and Tones in Sentence Perspective: A symposium in conjunction with the 60 th birthday of Professor G ö sta Bruce. Chilin Shih University of Illinois at Urbana-Champaign. January 10, 2007. Lund, Sweden. - PowerPoint PPT PresentationTRANSCRIPT
Why a Rising Tone is Falling in Mandarin Sentences
Chilin Shih
University of Illinois at Urbana-Champaign
Word Accents and Tones in Sentence Perspective:A symposium in conjunction with the 60th birthday of
Professor Gösta Bruce
January 10, 2007 Lund, Sweden
Generated by WordsEye from text description. Under development at SemanticLight, Inc.
Outline
• What we know– Chinese is a lexical tone language.
• Surprise!– Tones in sentences may deviate considerably
from their lexical specifications.
• Research question– Explain the difference between lexical tones
and the observed sentence production.
• Implication– A simulation model linking phonology to
phonetics.
Chinese Lexical Tones
Tone shapes differentiate lexical meaning.
Ma1: mother
Ma2: hemp
Ma3: horse
Ma4: to scold
Chinese Sentences
Ma1-ma0 ma4 ma3. Mother scolds the horse.
Ma3 ma4 ma1-ma0. The horse scolds mother.
Chinese Intonation Types (Data from JiahongYuan)
Li3bai4wu3 Luo2yan4 yao4 mai3 lu4.
On Friday Luoyan wants to buy a deer.
Statement
Question
Classification of Tone Shapes
Tone 1High level
Tone 2Rising
Tone 3Low falling
Tone 4High falling
Cause of Tonal Distortion
• Ease of articulatory effort
• Balancing articulatory effort and communication need
Physiological constraints:
Communication errors:
• When you say what you think you are saying:
• When you are not saying want you think you are saying:
Ease of Articulatory Effort—I
Ease of Articulatory Effort—II
Ease of Articulatory Effort—III
Production of Rising and Falling Tones
Severe Tonal Distortion—I
People Talk Nearly As Fast As Possible
Severe Tonal Distortion—II
Local distortion is predictable from global optimization
A Racing Game
Adjusting the Best Path
Best Path in Tonal Production
1.0 1.0 1.00.00.5
Stem-ML
The prosodic modeling is based on Stem-ML (Soft Template Mark-up Language).
Stem-ML consists of a set of mathematically defined tags with value attributes.
For example: Tone prosodic strength
Allowing user-defined accent shapes, phrase curves, and other speaker specific parameters.
Kochanski and Shih (2003), Prosody modeling with soft templates, Speech Communication V. 39.Shih (in preparation), Prosody Learning and Generation, Springer.
Basic Assumptions
• Pre-planning.
• Balance articulatory effort and communication needs (Lindblom, Ohala).
• A dynamical model for the muscles that control f0 (Hill).
We further propose:
• Speaker shifts weights dynamically as they speak.
• This is the prosodic strength, which reflects the articulatory effort.
Linking Phonology and Phonetics
• A model is a sequence of templates (i.e. points representing tone/accent shapes). The templates encodes phonological information.
• For tone languages, there is one template per tone. Templates are stretched to fit duration.
• Each template has a strength. The strength value determines phonetic variation.
Representation
Surface F0 contours are coded as a set of Template strength
Generation: Template strength F0
Learning: Template, F0 Template strength
T11.0 T3 0.3 T4 1.2 T5 0.8 T21.0 T1 0.5
Modeling Math (Credit to Greg Kochanski)( )RGtp
tp+=
)(minarg)(
( )∫ ++= 22222 pppdtG ητ &&&
)(tp is the muscle tension (~frequency) at time t.
“Effort”
∑∈
=targets
2
iii rsR Each target encodes some linguistic information, ri
is the error of the ith target, and si is its importance.
( ) ( )( )∫∈ −+−−−=itarget
22)()(ti ypyyppdtr βα
y is the ith pitch target and a bar denotes an average over a target.
“Error”
)(tyy i≡
Representing F0 As Tone Strength
Simulation of Tonal Production—I
Simulation of Tonal Production—II
Model Fits to Mandarin Chinese
0.61 free parameters per syllable, 13 Hz RMS error.
Works for English
*
************************************************************ ********************
************* ************** ***********************
**********************
*********** ****************** *******
****************
F0 (Hz)
1 2 3 4 (s)
200300400
Time
would
Uhm
I
like
A flight to Seattle from Albuquerque
The highest f0 is on a weak, unaccented word.
Interpolation
Muscle Dynamics
Discourse Functions
• Topic initialization
• Discourse structure
• Phrasing
• Emphasis
• New vs. old information
• Other communicative means
How Do They Fit Together?
Conclusion
• Speech is a communication system. Speakers balance articulatory effort and communication needs.
• We need a representation that encodes– Accent template– Articulatory effort– Emotional State
• We present a computational simulation model that generate surface phonetic variations from this representation.