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Hits 1 – 20 of 70
1
The Twins corpus of museum visitor questions
Priti Aggarwal
;
Ron Artstein
;
Jillian Gerten
...
In: http://people.ict.usc.edu/~traum/Papers/twins-corpus.pdf (2012)
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2
Morphological variation in the adult vocal tract: A study using rtmri
Adam Lammert
;
Michael Proctor
;
Athanasios Katsamanis
...
In: http://mproctor.net/docs/lammert11_IS2011_morphology.pdf (2011)
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3
Direct Estimation of Articulatory Kinematics from Real-time Magnetic Resonance Image Sequences
Michael Proctor
;
Adam Lammert
;
Athanasios Katsamanis
...
In: http://mproctor.net/docs/proctor11_IS2011_constriction.pdf (2011)
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4
A multimodal real-time MRI articulatory corpus for speech research
Shrikanth Narayanan
;
Erik Bresch
;
Prasanta Ghosh
...
In: http://mproctor.net/docs/narayanan11_IS2011_MRI-TIMIT.pdf (2011)
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5
Para-linguistic mechanisms of production in human ’beatboxing’: a real-time mri study
Michael I. Proctor
;
Shrikanth Narayanan
;
Krishna Nayak
In: http://mproctor.net/docs/proctor10_IS2010_beatboxing.pdf (2010)
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6
Rapid semiautomatic segmentation of real-time Magnetic Resonance Images for parametric vocal tract analysis
Michael I. Proctor
;
Danny Bone
;
Nassos Katsamanis
...
In: http://mproctor.net/docs/proctor10_IS2010_segmentation.pdf (2010)
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7
Connecting rhythm and prominence in automatic ESL pronunciation scoring
Emily Nava
;
Joseph Tepperman
;
Louis Goldstein
;
Maria Luisa Zubizarreta
;
Shrikanth Narayanan
In: http://www.josephtepperman.com/nava_rhythm_2009.pdf (2009)
Abstract:
Abstract Past studies have shown that a native Spanish speaker's use of phrasal prominence is a good indicator of her level of English prosody acquisition. Because of the cross-linguistic differences in the organization of phrasal prominence and durational contrasts, we hypothesize that those speakers with English-like prominence in their L2 speech are also expected to have acquired English-like rhythm. Statistics from a corpus of native and nonnative English confirm that speakers with an Englishlike phrasal prominence are also the ones who use English-like rhythm. Additionally, two methods of automatic score generation based on vowel duration times demonstrate a correlation of at least 0.6 between these automatic scores and subjective scores for phrasal prominence. These findings suggest that simple vowel duration measures obtained from standard automatic speech recognition methods can be salient cues for estimating subjective scores of prosodic acquisition, and of pronunciation in general.
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1039.746
http://www.josephtepperman.com/nava_rhythm_2009.pdf
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8
Analysis of emotionally salient aspects of fundamental frequency for emotion detection
Carlos Busso
;
Sungbok Lee
;
Shrikanth Narayanan
In: http://www.utdallas.edu/dept/eecs/research/researchlabs/msp-lab/publications/Busso_2009.pdf (2009)
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9
Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence
Sankaranarayanan Ananthakrishnan
;
Prasanta Ghosh
;
Shrikanth Narayanan
In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631211/pdf/nihms54014.pdf (2008)
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10
An empirical analysis of user uncertainty in problem-solving child–machine interactions
Matthew Black
;
Jeannette Chang
;
Shrikanth Narayanan
In: http://care.usc.edu/research/Papers/MattJeannette-Uncertainty.pdf (2008)
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11
A text-free approach to assessing nonnative intonation
Abe Kazemzadeh
;
Shrikanth Narayanan
In: http://sail.usc.edu/publications/tepperman_intonation_icslp07.pdf (2007)
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12
An English-Persian Automatic Speech Translator: Recent Developments in Domain Portability and User Modeling
Panayiotis G. Georgiou
;
Abhinav Sethy
;
Jongho Shin
...
In: http://sail.usc.edu/publications/georgiou_isyc2006_s2s.pdf (2006)
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13
Abstract
Abhinav Sethy A
;
Shrikanth Narayanan A
;
S. Parthasarthy B
In: http://sail.usc.edu/publications/Sethy-SpeechComm2006.pdf (2006)
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14
Combining acoustic, lexical, and syntactic evidence for automatic unsupervised prosody labeling
Sankaranarayanan Ananthakrishnan
;
Shrikanth Narayanan
In: http://sail.usc.edu/publications/ananthak_icslp06.pdf (2006)
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15
Detection of Non-Native Named Entities Using Prosodic Features for Improved Speech Recognition and Translation
Vivek Rangarajan
;
Shrikanth Narayanan
In: http://isca-speech.org/archive_open/archive_papers/ml06/ml06_003.pdf (2006)
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16
Vector-based representation and clustering of audio using onomatopoeia words
Shiva Sundaram
;
Shrikanth Narayanan
In: https://www.aaai.org/Papers/Symposia/Fall/2006/FS-06-01/FS06-01-012.pdf (2006)
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17
Pronunciation verification of children’s speech for automatic literacy assessment
Jorge Silva
;
Abe Kazemzadeh
;
Hong You
...
In: http://www.seas.ucla.edu/spapl/paper/alwan_icslp_06.pdf (2006)
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18
Tactical Language detection and modeling of learner speech errors: The case of Arabic tactical language training for American English speakers
Nicolaus Mote
;
Lewis Johnson
;
Abhinav Sethy
...
In: http://www.alelo.com/files/INSTIL04-tactical_language_detection.pdf (2004)
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19
Tactical language detection and modeling of learner speech errors: The case of Arabic tactical language training for American English speakers
Nicolaus Mote
;
Lewis Johnson
;
Abhinav Sethy
...
In: http://isca-speech.org/archive_open/archive_papers/icall2004/iic4_012.pdf (2004)
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20
A transcription scheme for languages employing the arabic script motivated by speech processing application
Shadi Ganjavi
;
Panayiotis G. Georgiou
;
Shrikanth Narayanan
In: http://www.aclweb.org/anthology-new/W/W04/W04-1611.pdf (2004)
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