From Here to Utility Melding Phonetic Insight With Speech Technology Steven Greenberg

From Here to UtilityMelding Phonetic Insight With Speech Technology

Steven GreenbergInternational Computer Science Institute1947 Center Street, Berkeley, CA 94704

http://www.icsi.berkeley.edu/~stevengsteveng@icsi.berkeley.edu

Acknowledgements and Thanks

Automatic Feature Classification and AnalysisJoy Hollenback, Shawn Chang, Leah Hitchcock

Research FundingU.S. National Science FoundationU.S. Department of Defense

Road Map of the PresentationWhat is Truth?

• The story of Rashomon, a film by Akira Kurosawa• Its application to spoken language

The Varieties of Scientific Experience• The Fundamental Duality• The Eternal Pentangle• The Inner Triangle

The Importance of Being Phonetically Annotated• A Corpus-Centric Perspective on Spoken Language• Phonetic Annotation of Spontaneous American English Discourse

Phonetic Dissection of Automatic Speech Recognition Systems• Stress Accent and Word Error Rate• Syllable Structure and Word Error Rate

The Relation Between Stress Accent and Vocalic Identity• The Relation Between Segmental Duration and Vowel Height• Durational Differences Between Stressed and Unstressed Vowels• The Relation Between Vowel Height and Stress Accent

Spoken Language – What is Truth?• Fundamental Questions Remain Unanswered

Part One

WHAT IS TRUTH?

The Story of Rashomon

Its Moral for the Study of Spoken Language

Rashomon – What is Truth?It is twelfth-century Japan, and a nobleman has died ….

This we learn from a conversation between a woodcutter, a priest and a peasant under a gate in the ancient city of Kyoto ….

Rashomon – What is Truth?

The woodcutter and the priest have just come from a judicial inquest into the death, and are telling the peasant what they have heard

The woodcutter testified at the inquest, having witnessed the sequence of events resulting in the Nobleman’s death

The story begins with the capture of the notorious bandit, Tajomaru, who is the accused in the nobleman’s death ….

The nobleman and his wife had been traveling through the forest ….

When, all of a sudden,

When, all of a sudden, they are confronted by Tajomaru, who halts their progress ….

The nobleman and bandit go off alone into a thicket, where the former winds up being subdued by the latter

The nobleman is tied to a tree and forced to watch as his wife is violated by the bandit

Rashomon – What is Truth?The wife, at first, resists ….

Rashomon – What is Truth?But eventually drops the dagger and submits

So far, all parties concerned agree (roughly) as to the course of events, but from this point on the picture becomes murky, with each participant telling a somewhat different version of the story

In two versions (Tajomaru’s and the woodcutter’s) the wife insists that her husband and the bandit fight for her honor. The nobleman’s death results from losing the duel.

Rashomon – What is Truth?In the wife’s version, the bandit departs, with the husband still tied to the tree. The

husband proceeds to taunt his wife, telling her how ashamed he is – of her!

Rashomon – What is Truth?She cuts the rope binding her husband to the tree and asks to be killed! The wife

promptly faints and when she awakens, finds the dagger in the chest of her (now very dead) husband

In yet another version (the husband’s through a spirit medium) his wife betrays him and tries to convince the bandit to kill the husband

However, the bandit is repulsed by this suggestion and quickly departs ….

The nobleman, still tied to the tree, picks up the dagger and plunges it into his chest, thus taking his own life

Some time later the (now very dead) nobleman is aware of someone (it is not clear who) removing the dagger from his chest

The film ends as the priest, woodcutter and peasant mull over the significance of the disparate accounts of the nobleman’s death, seeking some kernel of truth in the morass of ambiguity and uncertainty

It is unclear whether ANY witness has been entirely truthful

It is unclear whether ANY witness has been entirely truthful (probably not)

The story of Rashomon is cited often in philosophical discussions of “truth”

As nothing is known (or knowable) with absolute certainty, all knowledge is relative (and hence ephemeral)

The concept of truth is a chimera

The concept of truth is a chimera and therefore unworthy of pursuit

Yet, there is an alternative interpretation, one that questions not the concept of truth itself, but rather the capacity of its assimilation through a single vantage point

Perhaps the “true” message of Rashomon is that deep and ever-lasting knowledge can only be gained through exposure to a variety of perspectives,

No single source providing sufficient depth and detail to comprehend a situation as complex (and as tragic) as the murder of a man

Can an intellectual domain as complex as spoken language be fully understood through the testimony of a single perspective?

Spoken Language – What is Truth?

Or must orthogonal varieties of evidence be sought with which to reconstruct the “truth”?

How does true insight proceed from “objective” study of spoken language?

Is it possible to fully comprehend the multivocal nature of a scientific domain from the sole vantage point of a laboratory?

Or does the spirit of Rashomon compel us to seek testimony from other sources in the pursuit of objective knowledge?

Part Two

THE VARIETIES OF SCIENTIFIC EXPERIENCE

The Fundamental Duality

The Eternal Pentangle

The Inner Triangle

The Fundamental DualityTechnology and science appear to oppose each other in perspective

• Technology is concerned with what works

The Art of the Workable

• Technology is concerned with what works (and can sell)

The Art of the Sellable The Art of the Workable

• Technology is concerned with what works (and can sell)• Science is concerned with what is

The Art of the WorkableThe Art of the Sellable

The Art of the Soluble

• Technology is concerned with what works (and can sell)• Science is concerned with what is (and can be published)

The Art of the SolubleThe Art of the Publishable

The Fundamental DualityThere is an essential “tension” between Science and Technology

• Science is often deemed “pure”

• Science is often deemed “pure”• Technology is usually perceived as “applied”

• Science is often deemed “pure”• Technology is usually perceived as “applied” (and therefore not quite as pure)

The Eternal PentangleSpeech Research Provides an Excellent Example of the Tension between

Science and Technology

Science and Technology• “Phonetic insight” is on the side of the angels

Science and Technology· “Phonetic insight” is on the side of the angels (a.k.a. “science”)

Phonetic Insight

The Eternal PentangleSpeech Research Provides an Excellent Example of the Tension between Science and

Technology· “Phonetic insight” is on the side of the angels (a.k.a. “science”) · While “speech technology” is on the side of the apes

Phonetic Insight

The Eternal PentangleSpeech Research Provides an Excellent Example of the Tension between Science and

Technology• “Phonetic insight” is on the side of the angels (a.k.a. “science”) • While “speech technology” is on the side of the apes (a.k.a. “the real world”)

Phonetic Insight

The Real World

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on

this Philosophical (and Methodological) Conundrum

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on this Philosophical

(and Methodological) Conundrum• Manual annotation provides the empirical foundation with which to train machine algorithms

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on this Philosophical (and Methodological)

Conundrum• Manual annotation provides the empirical foundation with which to train machine algorithms• Statistical characterization of the annotated material provides the basis for structuring the machine learning regime

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on this Philosophical (and Methodological)

Conundrum• Manual annotation provides the empirical foundation with which to train machine algorithms• Statistical characterization of the annotated material provides the basis for structuring the machine learning regime• Machine learning provides a method for evaluating phonetic knowledge

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on this Philosophical (and Methodological) Conundrum

• Manual annotation provides the empirical foundation with which to train machine algorithms• Statistical characterization of the annotated material provides the basis for structuring the machine learning regime• Machine learning provides a method for evaluating phonetic knowledge• Phonetic knowledge can be used to efficiently train machine algorithms

The Inner TriangleThe Inner Triangle of the Eternal Pentangle Can Potentially Shed Light on this Philosophical (and Methodological) Conundrum

• Manual annotation provides the empirical foundation with which to train machine algorithms• Statistical characterization of the annotated material provides the basis for structuring the machine learning regime• Machine learning provides a method for evaluating phonetic knowledge• Phonetic knowledge can be used to efficiently train machine algorithms• Statistical characterization can serve as a “reality check” on phonetic knowledge

The Inner TriangleThus, the three apices of the Inner Triangle feed into each other and provide

insight and perspective difficult to achieve from a single vantage point

The Inner TriangleThus, the three apices of the Inner Triangle feed into each other and provide insight and

perspective difficult to achieve from a single vantage point• In a manner analogous to Rashomon, insight may be gained from this multi- dimensional

perspective that deepens our knowledge of spoken language

The Inner TriangleThus, the three apices of the Inner Triangle feed into each other and provide insight and perspective difficult to achieve

from a single vantage point• In a manner analogous to Rashomon, insight may be gained from this multi- dimensional perspective that deepens our knowledge

of spoken language• And thus enables the development of superior technology that truly works in the “real world”

The Inner TriangleThus, the three apices of the Inner Triangle feed into each other and provide insight and perspective difficult to achieve from a single vantage

point• In a manner analogous to Rashomon, insight may be gained from this multi- dimensional perspective that deepens our knowledge of spoken language• And thus enables the development of superior technology that truly works in the “real world”• The development of sterling technology provides (in principle) a means to fund further basic technology-driven research

The Inner TriangleThus, the three apices of the Inner Triangle feed into each other and provide insight and perspective difficult to achieve from a single vantage point

• In a manner analogous to Rashomon, insight may be gained from this multi- dimensional perspective that deepens our knowledge of spoken language• And thus enables the development of superior technology that truly works in the “real world”• The development of sterling technology provides (in principle) a means to fund further basic technology-driven research• And that, in turn, results in further technological advances

• In a manner analogous to Rashomon, insight may be gained from this multi- dimensional perspective that deepens our knowledge of spoken language• And thus enables the development of superior technology that truly works in the “real world”• The development of sterling technology provides (in principle) a means to fund further basic technology-driven research• And that, in turn, results in further technological advances• And so on

• In a manner analogous to Rashomon, insight may be gained from this multi-dimensional perspective that deepens our knowledge of spoken language• And thus enables the development of superior technology that truly works in the “real world”• The development of sterling technology provides (in principle) a means to fund further basic technology-driven research• And that, in turn, results in further technological advances• And so on (forever after)

Part Three

THE IMPORTANCE OF BEING PHONETICALLY ANNOTATED

A Corpus-Centric Perspective on Spoken Language

Phonetic Annotation of Spontaneous American English Discourse

Many Properties of Spontaneous Spoken Language Differ from Those of Laboratory and Citation Speech

Phonetic Annotation is Useful, Because …

There are systematic patterns in “real” speech that potentially reveal underlying principles of linguistic organization

Such Corpora Provide Empirical Material for the Study of Spoken Language

Such Corpora Provide Empirical Material for the Study of Spoken LanguageSuch data provide an important basis for scientific insight and understanding

Such Corpora Provide Empirical Material for the Study of Spoken LanguageSuch data provide an important basis for scientific insight and understandingAnd facilitate development of new models of spoken language

They Also Provide Training Material for Technology Applications in:

They Also Provide Training Material for Technology Applications in:Automatic speech recognition, particularly pronunciation models

They Also Provide Training Material for Technology Applications in:Automatic speech recognition, particularly pronunciation modelsSpeech synthesis, in pronunciation models as well as in

They Also Provide Training Material for Technology Applications in:Automatic speech recognition, particularly pronunciation modelsSpeech synthesis, in pronunciation models as well as inCross-linguistic transfer of technology algorithms, etc.

They Promote Development of NOVEL Algorithms for Speech Technology

They Promote Development of NOVEL Algorithms for Speech TechnologyIncluding pronunciation models and lexical representations for

They Promote Development of NOVEL Algorithms for Speech TechnologyIncluding pronunciation models and lexical representations for automatic speech recognition and speech synthesis, as well as

They Promote Development of NOVEL Algorithms for Speech TechnologyIncluding pronunciation models and lexical representations for automatic speech recognition and speech synthesis, as well asMulti-tier representations of spoken language

They Also Provide Training Material for Technology Applications in: Automatic speech recognition, particularly pronunciation models

Speech synthesis, in pronunciation models as well as inCross-linguistic transfer of technology algorithms, etc.

They Promote Development of NOVEL Algorithms for Speech TechnologyIncluding pronunciation models and lexical representations for automatic speech recognition and speech synthesis, as well asMulti-tier representations of spoken language

All of Which Can be Used for Gaining Further Insight into Spoken Language

Corpus-Centric View of Spoken LanguageEach Tier of Linguistic Organization Provides a Unique Perspective

However, integrating the annotated material across levels is tricky …

However, integrating the annotated material across levels is tricky ….And a lot of work!!

Let’s Focus on a Specific Aspect of Linguistic Organization in Order to Exemplify the Concepts Involved

Let’s Focus on a Specific Aspect of Linguistic Organization in Order to Exemplify the Concepts InvolvedIn order to do so, we first consider the nature of the transcription material used

Phonetic Transcription of Spontaneous EnglishTelephone Dialogues of 5-10 minutes duration, from the SWITCHBOARD

CORPUS, have been phonetically annotated (labeled and segmented)

Most of this Material has been Manually Annotated

Most of this Material has been Manually Annotated 4 hours labeled at the phone level and segmented at the syllabic level

Most of this Material has been Manually Annotated 4 hours labeled at the phone level and segmented at the syllabic level 1 hour labeled and segmented at the phonetic-segment level

Most of this Material has been Manually Annotated 4 hours labeled at the phone level and segmented at the syllabic level 1 hour labeled and segmented at the phonetic-segment levelThe remaining material has been segmented at the phonetic-segment level using

automatic methods

automatic methods45 minutes of stress-accent-labeled material

automatic methods45 minutes of stress-accent-labeled materialAn additional four hours of material automatically labeled with respect to accent

(this latter material not used in the current analysis, but will be available soon)

There is a Lot of Diversity in the Material Transcribed

There is a Lot of Diversity in the Material TranscribedSpans speech of both genders (ca. 50/50%), reflecting a wide range of American

dialectal variation, speaking rate and voice quality

automatic methods45 minutes of stress-accent-labeled materialAn additional four hours of material automatically labeled with respect to accent (this

latter material not used in the current analysis, but will be available soon)

There is a Lot of Diversity in the Material TranscribedSpans speech of both genders (ca. 50/50%), reflecting a wide range of American

dialectal variation, speaking rate and voice quality

Transcription SystemA variant of Arpabet, with phonetic diacritics such as:_gl,_cr, _fr, _n, _vl, _vd

Phonetic Transcription of Spontaneous EnglishThe Data are Available at ….

http://www.icsi/berkeley.edu/real/stp

This Means there is Phonetically Validated Material at the Level of the:

WORD SYLLABLE

WORD SYLLABLE PHONETIC SEGMENT

ARTICULATORY-ACOUSTIC FEATURE

ARTICULATORY-ACOUSTIC FEATURE and STRESS ACCENT

(as well as at the utterance level)

The Eternal Pentangle (Redux)Let’s re-examine the eternal triangle from the perspective of manual

annotation for three linguistic tiers….

Phonetic Transcription How was the Labeling and Segmentation Performed?

VERY carefully …. by UC-Berkeley linguistics students

VERY carefully …. by UC-Berkeley linguistics studentsUsing a display of the signal waveform,

VERY carefully …. by UC-Berkeley linguistics studentsUsing a display of the signal waveform, spectrogram,

VERY carefully …. by UC-Berkeley linguistics studentsUsing a display of the signal waveform, spectrogram, word transcription

VERY carefully …. by UC-Berkeley linguistics studentsUsing a display of the signal waveform, spectrogram, word transcription and

“forced alignments” (automatic estimates of phones and boundaries)

“forced alignments” (automatic estimates of phones and boundaries) + audio (listening at multiple time scales - phone, word, utterance)

“forced alignments” (automatic estimates of phones and boundaries) + audio (listening at multiple time scales - phone, word, utterance) on Sun workstations

Additionally, automatic segmentation and labeling of articulatory manner was used as a guide for phonetic labeling and segmentation in the current year

Phonetic Transcription In addition to phonetic labels and syllabic segmentation,

45 minutes of this material was labeled with respect to stress accent for each syllable Three levels of stress were marked - FULLY Stressed, Unstressed and Intermediate Stress

Phonetic Transcription Such material can be used to perform statistical characterization of spontaneous speech

as well as train machine algorithms to label and segment additional material

In addition, the transcription material can be used to evaluate the performance of automatic speech recognition systems

Let’s first consider how this transcription can be used for ASR evaluation

We’ll focus on stress-accent, but then relate this to syllable structure

Part Four

PHONETIC DISSECTION OF

AUTOMATIC SPEECH RECOGNITION SYSTEMS

A Case Study

Stress Accent and Word Error Rate

Syllable Structure and Word Error Rate

In Collaboration with Shawn Chang

The Eternal Pentangle (Redux)Let’s re-examine the eternal triangle from the perspective of automatic

speech recognition ….

Generation of Evaluation Data - 1A complex sequence of data formatting was required to place the speech recognition

data of 8 separate sites into register with the transcription material (and vice versa)

Generation of Evaluation Data - 2But, let’s not sweat the details during this presentation

Generation of Evaluation Data - 2Let’s not sweat the details during this presentationInterested parties may consult the relevant papers (Greenberg, Hollenback and Chang,

2000; Greenberg and Chang, 2000) at

www.icsi.berkeley.edu/~steveng

Generation of Evaluation Data - 3Recognition performance was analyzed with reference to ca. 50 separate acoustic,

linguistic and structural parameters

• LEXICAL PROPERTIES – Lexical Identity– Unigram Frequency– Number of Syllables in Word– Number of Phones in Word– Word Duration– Speaking Rate– Prosodic Prominence– Energy Level– Lexical Compounds– Non-Words– Word Position in Utterance

• SYLLABLE PROPERTIES– Syllable Structure– Syllable Duration– Syllable Energy– Prosodic Prominence– Prosodic Context

Summary of Corpus Acoustic Properties• PHONE PROPERTIES

– Phonetic Identity– Phone Frequency– Position within the Word– Position within the Syllable– Phone Duration– Speaking Rate– Phonetic Context– Contiguous Phones Correct– Contiguous Phones Wrong– Phone Segmentation– Articulatory Features– Articulatory Feature Distance– Phone Confusion Matrices

• OTHER PROPERTIES– Speaker (Dialect, Gender)– Utterance Difficulty– Utterance Energy– Utterance Duration

What is (usually) Meant by Stress Accent?Prosody is supposed to pertain to extra-phonetic cues in the acoustic

signal

What is (usually) Meant by Stress Accent?Prosody is supposed to pertain to extra-phonetic cues in the acoustic

signal

The pattern of variation over a sequence of SYLLABLES pertaining to: syllabic DURATION, AMPLITUDE and PITCH (fo) variation over time

What is (usually) Meant by Stress Accent?Prosody is supposed to pertain to extra-phonetic cues in the acoustic signal

The pattern of variation over a sequence of SYLLABLES pertaining to: syllabic DURATION, AMPLITUDE and PITCH (fo) variation over time

But, the plot thickens (considerably) .… as we’ll shortly see

The effect of stress accent is most discernable among word-deletion errors

Unstressed Fully Stressed Intermediate Stress

Data are averaged across all eight sites

The effect of stress accent is most discernable among word-deletion errors

There is no essential relation between accent and word-substitution errors

Unstressed Fully Stressed Intermediate Stress

Syllable Structure and Word Error RateLet’s now consider syllable structure with respect to ASR word error

There is a certain similarity with the pattern observed for stress accent ….

Syllable Structure and Word Error RateVowel-initial forms show the greatest error, particularly for word deletions

C = ConsonantV = Vowel

Polysyllabic forms manifest the lowest error, especially for word deletions

The vowel-initial forms tend to be unstressed, so ….

Perhaps the similarity in pattern is not so surprising after all

The Proportion of Word (Deletion) Errors is Much Higher Among Unstressed Syllables

The Plot … So Far

The Proportion of Word (Deletion) Errors is Much Higher Among Unstressed Syllables (Relative to Fully and even Partially Stressed Syllables)

The Plot … So Far

The Proportion of Word (Deletion) Errors is Much Higher Among Syllables that Begin with a Vowel

The Plot … So Far

The exception being words composed of more than a single syllable

The Plot … So Far

Polysyllabic Words Exhibit the Lowest Word Deletion Error Rate

The Plot … So Far

Polysyllabic Words Exhibit the Lowest Word Deletion Error RateSuch words usually have at least one syllable that is highly stressed

The Plot … So Far

Polysyllabic Words Exhibit the Lowest Word Deletion Error RateSuch words usually have at least one syllable that is highly stressedSuggesting that deletion errors reflect the general stress pattern within the word

The Plot … So Far

Syllable Structure and Stress Accent are not Salient Properties in (most) ASR Systems

The Plot … So Far

As ASR systems know about phones and words, but not syllables and stress (at least in American English)

The Plot … So Far

Could There Therefore be a Link Between Syllable Structure, Stress Accent and Some Other Linguistic Properties that ASR Systems “Know About”?

The Plot … So Far

Could There Therefore be a Link Between Syllable Structure, Stress Accent and Some Other Linguistic Properties that ASR Systems “Know About”?

Let’s Find Out ….

The Plot … So Far

Part Five

The Relation Between Stress Accent and

Vocalic IdentityYet Another Case Study

The Relation Between Segmental Duration and Vowel Height

Durational Differences Between Stressed and Unstressed Vowels

The Relation Between Vowel Height and Stress Accent

In Collaboration with Leah Hitchcock

The Eternal Pentangle (Redux)Let’s re-examine the eternal triangle from the perspective of statistical

characterization of the annotated Switchboard corpus

The Eternal Pentangle (Redux)Let’s re-examine the eternal triangle from the perspective of statistical characterization of the annotated

Switchboard corpus

These data were originally collected to improve the quality of speech recognition systems, but are now being pressed into service for SCIENCE

The Eternal Pentangle (Redux)But first ….

A Brief Primer on Vocalic Acoustics

Vowel quality is generally thought to be a function primarily of two articulatory properties – both related to the motion of the tongue

• The front-back plane is most closely associated with the second formant frequency (or more precisely F2 - F1) and the volume of the front-cavity resonance

• The height parameter is closely linked to the frequency of F1

In the classic vowel “triangle,” segments are positioned in terms of the tongue positions associated with their production, as follows:

Let’s return to the vowel triangle and see if it can shed light on certain patterns in the vocalic data

Spatial Patterning of Duration and Amplitude

The duration will be plotted on a 2-D grid , where the x-axis will always be in terms of hypothetical front-back tongue position

The duration will be plotted on a 2-D grid , where the x-axis will always be in terms of hypothetical front-back tongue position (and hence remain a constant throughout the plots to follow)

The y-axis will serve as the dependent measure expressed in terms of duration or the proportion of fully stressed (or unstressed) nuclei

Spatial Patterning of Duration et al.

Vocalic Duration and Vowel HeightThe spatial patterning of vocalic segments is systematic with respect to

duration

Vocalic Duration and Vowel HeightThe spatial patterning of vocalic segments is systematic with respect to

duration

Low vowels, be they diphthongs or monophthongs, are longer (on average) than high vowels

Vocalic Duration and Vowel Height

All nuclei Diphthongs Monophthongs

The spatial patterning of vocalic segments is systematic with respect to duration

Thus, duration appears to be highly correlated with vowel height

But … the situation is a little more complicated than first appearances would suggest

Durational Differences - Stressed/UnstressedThere is a large dynamic range in duration between stressed and unstressed

nuclei

Durational Differences - Stressed/UnstressedThere is a large dynamic range in duration between stressed and unstressed nuclei

Moreover, diphthongs and tense, low monophthongs tend to exhibit a larger dynamic range than the lax monophthongs

Durational Differences - Stressed/UnstressedThere is a large dynamic range in duration between stressed and unstressed nuclei

Moreover, diphthongs and tense, low monophthongs tend to exhibit a larger dynamic range than the lax monophthongs

Lax monophthongs

Vocalic Identity Among Unstressed NucleiThe high, lax monophthongs are almost always unstressed

The low vowels, be they monophthongs or diphthongs, are rarely unstressed

Vocalic Identity Among Unstressed NucleiThe high, lax monophthongs are almost always unstressed

The low vowels, be they monophthongs or diphthongs, are rarely unstressed

The high diphthongs and high/mid, tense monophthongs occupy an intermediate position

The high vowels are rarely fully stressed

Vocalic Identity Among Fully Stressed Nuclei

The low vowels, be they monophthongs or diphthongs, are far more likely to be fully stressed

An intermediate degree of stress accounts for the other vocalic instances

An intermediate degree of stress accounts for the other vocalic instances (but will not be addressed here)

Duration Appears to Play An Important (but certainly not exclusive) Role in Stress Accent for Spontaneous American English Discourse

Is It Stress? Vocalic Identity? Or What?

For any given vocalic class, stressed segments are longer (on average)

For any given vocalic class, stressed segments are longer (on average)The durational disparity is most pronounced among the low vowels and the

diphthongs

Low Vowels Tend to be Much Longer in Duration than High Vowels

diphthongs

Low Vowels Tend to be Much Longer in Duration than High VowelsThis is the case even for diphthongs

diphthongs

Low Vowels are Rarely without Some Measure of Stress Accent

diphthongs

Low Vowels are Rarely without Some Measure of Stress AccentThis is true for monophthongs as well as diphthongs

diphthongs

High Vowels are Fully Stressed Extremely Rarely

diphthongs

High Vowels are Fully Stressed Extremely RarelyThis is particularly so for monophthongs, but also applies to diphthongs

diphthongs

Thus, Stress Accent Appears to Be Intricately Involved with Vocalic Identity

diphthongs

Thus, Stress Accent Appears to Be Intricately Involved with Vocalic IdentityThis relation is likely to have an important impact on pronunciation variation

diphthongs

Thus, Stress Accent Appears to Be Intricately Involved with Vocalic IdentityThis relation is likely to have an important impact on pronunciation variation

And Thus Could be Useful for Modeling Pronunciation Variation for BOTH Scientific and Technological Applications

Part Six

SPOKEN LANGUAGEWHAT IS TRUTH?

Fundamental Questions Remain Unanswered

The Current Story Raises More Questions than it Answers ….

Is It Possible to Dissociate Vocalic Identity from Stress Accent?

Is Duration an Essential Component of Stress Accent and Vowel Height?

How Should Words (and other organizational units) be Represented in ASR Lexicons to Exploit Such Interrelations?

Can Speech Technology Afford to View Language as a Mere Concatenation of Phones and Words (or analogous units)?

Can Speech Technology Afford to View Language as a Mere Concatenation of Phones and Words (or analogous units)?Perhaps No Single Perspective Can Truly Capture the Essence of Spoken Language, or

Can Speech Technology Afford to View Language as a Mere Concatenation of Phones and Words (or analogous units)?Perhaps No Single Perspective Can Truly Capture the Essence of Spoken Language, or Portray It with the Depth and Clarity Required to Produce “Flawless” Technology and Enduring Scientific Insight

That’s All, Folks

Many Thanks for Your Time and Attention

From Here to Utility Melding Phonetic Insight With Speech Technology Steven Greenberg

Documents

Phonetic and Lexical Dissection of the Hub-5 Speech Recognition Evaluation Steven Greenberg, Shawn Chang and Joy Hollenback International Computer Science

By: James Ryden and Evan Greenberg By: James Ryden and Evan Greenberg By: James Ryden and Evan Greenberg By: James Ryden and Evan Greenberg

Phonetic Soundsmm

Phonetic Chart

Phonetic Terminology

Crosscutting Concepts (C 3 )– Melding Mechanisms, Models, & Minds

Phonetic Drill

Melding Rangeland Ecology and Livestock Grazing Managementjcourtneywhite.com/wp-content/uploads/2016/09/009_Nov_1999.pdf · Melding Rangeland Ecology and Livestock Grazing Management

MELDING MELAMINE AND UREA - Casale

PHONETIC SYMBOLS.docx

Phonetic Alphabet

LITE DEPALMA GREENBERG, LLC Bruce D. Greenberg Jeffrey A

Melding two worlds into one benefit

Phonetic Setup

Phonetic Reading

Melding Data Management with Computational Workflows · 04.11.2012 · Melding Data Management with Computational Workflows ... – Separation of data and meta- data ... • Usually

Phonetic Structure

Denne melding til obligasjonseierne er kun utarbeidet på

EXPLORATION OF NANO-STRUCTURE MELDING VIA COMPUTER …

Melding Technology and Strategy - LeadingAge€¦ · Melding Technology and Strategy: Health and Payment Reform and Business Lines ... • Guest speaker and former CAST Commissioner