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Identification of prosodic near-minimal Pairs in Spontaneous Speech. Keesha Joseph Howard University Center for Spoken Language Understanding (CSLU) Oregon Health & Science University (OHSU) Portland, Oregon, USA josephk@cslu.ogi.edu August 10, 2010. Agenda. Background Information

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identification of prosodic near minimal pairs in spontaneous speech

Identification of prosodic near-minimal Pairs in Spontaneous Speech

Keesha Joseph

Howard University

Center for Spoken Language Understanding (CSLU)

Oregon Health & Science University (OHSU)

Portland, Oregon, USA

josephk@cslu.ogi.edu

August 10, 2010

agenda
Agenda

Background Information

Research Questions

Data and Subjects

Research Activities

Conclusion and Future Work

Questions?

background information
Background Information
  • van Santen et al. 2009/2010
    • Very structured tasks tested a child’s ability to make distinctions in focus and stress
    • Video Time!!
    • Some acoustic features were different in Autism Spectrum Disorder (ASD) versus Typically Developing (TD) subjects
  • Problem:
    • Tasks situation is structured and artificial.
    • Would we find the same outcome in spontaneous speech?
background information1
Background Information
  • The tasks used prosodic minimal pairs.
  • A prosodicminimal pair is a 2-syllable phrase with the same phoneme sequence but the stress is on a different part of the phrase.
    • blue COW vs BLUE cow
  • A near minimal pair has similar(but not identical) phonetic content where the phoneme classes are the same but the phonemes might not be.
  • Different Phrases:
      • my dad vs my bag
    • Same phoneme classes and vowels but different phonemes
      • nas_aI_vst_@_vstvs nas_aI_vst_@_vst
research questions
Research Questions

Can we find minimal pairs in spontaneous speech?

Can we find near minimal pairs if there are not many minimal pairs found in spontaneous speech?

How do we find near minimal and minimal pairs?

How can we evaluate whether our method of finding minimal pairs works?

data and subjects
Data and Subjects

5 kids with Autism Spectrum Disorder and 5 kids with Typical Development

Transcripts of ADOS diagnostic interviews were used as examples of spontaneous speech

Festival Speech Synthesis software was used to convert the ADOS interview transcripts to phonetic transcriptions

research activities
Research Activities
  • Changed consonants in a string of phonemes to their respective phoneme class
    • (Unvoiced Stops, Voiced Stops, Unvoiced Fricatives, Voiced Fricatives, Affricates, Liquids, Nasals, Glides)
  • This process finds near minimal pairs
    • Example: ufr_>_liq_ufr_3r_vst could either be f_>_9r_T_3r_d (four thirt|y) or f_>_9r_f_3r_g (for forg|et)
research activities1
Research Activities

1. Create a script to find phonetic strings the follow a CVC+VC pattern.

  •      C = Consonant
  •      V = Vowel
  •      C+ = Consonant

2. Create a file for each subject with all possible phonetic strings that follow a CVC+VC pattern.

3. Sort on phonetic strings to find groups of potential near minimal pairs.

  • These phonetic strings are called potential near minimal pairs

4. Manually searched through potential near minimal pairs to find actual near minimal pairs.

research activities2
Research Activities
  • Use Praat to listen to sentences of the ADOS to find actual near minimal pairs.
  • Rule out criteria:
      • The interviewer was speaking over that potential minimal pair
      • The kid was making a lot of noise (i.e. hitting the table while speaking)
      • The kid was whispering or not close enough to the microphone
  • A Potential Near Minimal Pair is an Actual Near Minimal Pair only if:
    • The items of the pair have a contrasting stress pattern.
research activities3
Research Activities
  • We decided to collapse vowels into classes to find more potential near minimal pairs
  • For example my_dad under these vowel classes:
    • Height
      • nas_diph_vst_low_vst
    • Backness
      • nas_diph_vst_front_vst
    • Length
      • nas_long_vst_short_vst
  • For comparison, also looked at exact phonemes for minimal pairs
    • m_aI_d_@_d
conclusion and future work
Conclusion and Future Work
  • Surprisingly small number of potential NMPs even with broad phoneme classes.
  • This method for finding near minimal pairs is feasible with well trained annotator.
    • The length of time it took to find such pairs decreased with experience
  • Future Work
    • Further broadening of phoneme classes.
    • Alignment of phonemes to waves for these pairs.
    • Run the analysis of van Santen et al. 2010 to see if the results found in that paper are also in spontaneous speech.
thanks
THANKS!

Emily Tucker Prud’hommeaux

Jan van Santen

CSLU Staff and Interns

Thanks for making this an experience I wont forget!