Speech Processing 15-492/18-492 Speech Processing Current Topics - - PowerPoint PPT Presentation

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Speech Processing 15-492/18-492 Speech Processing Current Topics - - PowerPoint PPT Presentation

Speech Processing 15-492/18-492 Speech Processing Current Topics and Future challenges Commercial and Research Current and Future What are the hot topics in Speech What are the hot topics in Speech What currently works What


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SLIDE 1

Speech Processing 15-492/18-492

Speech Processing Current Topics and Future challenges Commercial and Research

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SLIDE 2

Current and Future

  • What are the hot topics in Speech

What are the hot topics in Speech

  • What currently works

What currently works

  • What could work soon (5

What could work soon (5-

  • 10years)

10years)

  • What are the industry hot topics

What are the industry hot topics

  • What are the research challenges

What are the research challenges

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SLIDE 3

Spoken Dialog: Now

  • Industry:

Industry:

  • Location based querying

Location based querying

  Google

Google: 411, : 411, smartphone smartphone

  Microsoft Live Search:

Microsoft Live Search: smartphone smartphone

  Yahoo (

Yahoo (Vlingo Vlingo) )

  • Blackberry,

Blackberry, IPhone IPhone

  (Owners have money)

(Owners have money)

  • How do you make money out of this …

How do you make money out of this …

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SLIDE 4

Spoken Dialog: Now

  • Research

Research

  • Error recovery

Error recovery

  • Adaptive systems

Adaptive systems

  • Rapid deployment

Rapid deployment

  • Learning dialog structure from data

Learning dialog structure from data

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SLIDE 5

ASR: Now

  • Industry

Industry

  • Moving from grammar based to N

Moving from grammar based to N-

  • gram based

gram based

  • Broadcast news transcription of IR

Broadcast news transcription of IR

  • Robust speech recognition:

Robust speech recognition:

  In car, outside, in noisy office

In car, outside, in noisy office

  • LM adaptation from other sources

LM adaptation from other sources

  Using click through and search queries

Using click through and search queries

  • Pronunciation variants (“wrong” ones too)

Pronunciation variants (“wrong” ones too)

  • Medical transcription

Medical transcription

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SLIDE 6

ASR: Now

  • Research:

Research:

  • Discriminative training

Discriminative training

  Acoustic parameter projections to discriminate

Acoustic parameter projections to discriminate between the correct answers and competitors between the correct answers and competitors

  • Robust recognition

Robust recognition

  Far field microphones

Far field microphones

  Blind source separation

Blind source separation

  • Out of vocabulary words

Out of vocabulary words

  • Unsupervised training

Unsupervised training

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SLIDE 7

TTS: Now

  • Industry

Industry

  • Building custom voices (and your voice)

Building custom voices (and your voice)

  • Multilingual on small devices

Multilingual on small devices

  E.g. for GPS Navigation over Europe

E.g. for GPS Navigation over Europe

  • Easy methods to build new languages

Easy methods to build new languages

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SLIDE 8

TTS: Now

  • Research

Research

  • Improving statistical synthesis

Improving statistical synthesis

  • Rapid support in new languages

Rapid support in new languages

  • Emotional speech synthesis

Emotional speech synthesis

  • Automatic building of voices from data

Automatic building of voices from data

  Without any human intervention

Without any human intervention

  • Synthesis beyond the sentence

Synthesis beyond the sentence

  Synthesis with more text analysis

Synthesis with more text analysis

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SLIDE 9

Speech to Speech Translation

  • Industry

Industry

  • One way systems, domain limited systems

One way systems, domain limited systems

  • Simple targeted cell phone systems

Simple targeted cell phone systems

  • Research

Research

  • Two way systems, large domains

Two way systems, large domains

  • One way lecture/broadcast news

One way lecture/broadcast news

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SLIDE 10

VC and SID: Now

  • Voice conversion

Voice conversion

  • Cross Lingual Voice Conversion

Cross Lingual Voice Conversion

  • Emotion/style conversion

Emotion/style conversion

  • Conversion without training data

Conversion without training data

  • Speaker ID

Speaker ID

  • Accuracy on large data sets (> 1000 speakers)

Accuracy on large data sets (> 1000 speakers)

  • Cross channel/language ID

Cross channel/language ID

  • More information in ID (prosody,

More information in ID (prosody, vocab vocab) )

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SLIDE 11

CALL: Now

  • Industry

Industry

  • Pronunciation training

Pronunciation training

  • Scenario practicing

Scenario practicing

  • Research

Research

  • Game based tools

Game based tools

  • Measuring educational contribution

Measuring educational contribution

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SLIDE 12

Speech Processing Future

  • Hard challenges (PhD topics and beyond)

Hard challenges (PhD topics and beyond)

  • All on the research side

All on the research side

  • But maybe in Research Labs

But maybe in Research Labs

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SLIDE 13

Speech Reco without Speech

  • Using other modalities

Using other modalities

  • Lip movement, muscle movement

Lip movement, muscle movement

  • Silent speech

Silent speech

  No generated audio

No generated audio

  Just think about the words

Just think about the words

  • Gesture recognition

Gesture recognition

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SLIDE 14

Conversational Systems

  • Participant in a meeting

Participant in a meeting

  • True conversational speech

True conversational speech

  Appropriate non

Appropriate non-

  • word speech generation

word speech generation

  Know when to speak, when to laugh, when to listen

Know when to speak, when to laugh, when to listen

  Appropriate timing conversation

Appropriate timing conversation

  Able to interrupt when having something to say

Able to interrupt when having something to say

  • Have something to say

Have something to say

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SLIDE 15

Summaries and Discussions

  • Describe a paper/movie/event

Describe a paper/movie/event

  • Appropriate summary

Appropriate summary

  • Allow questions

Allow questions

  • Know when to use style/emotion

Know when to use style/emotion

  • Not just speech<

Not just speech<-

  • >text

>text

  Understand more of the text content

Understand more of the text content

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SLIDE 16

Final Notes

  • Don’t forget to fill in Faculty Course

Don’t forget to fill in Faculty Course Evaluation Evaluation

  • Final Homework due

Final Homework due

  • Monday 8

Monday 8th

th 3:30pm

3:30pm

  • Final exam

Final exam

  • Tuesday 16

Tuesday 16th

th 1pm

1pm-

  • 4pm

4pm WeH WeH 6423 6423