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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
...
In: http://www.josephtepperman.com/nava_rhythm_2009.pdf (2009)
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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
;
Jorge Silva
;
Shrikanth Narayanan
In: http://www.alelo.com/files/INSTIL04-tactical_language_detection.pdf (2004)
Abstract:
The Tactical Language Training System (TLTS) is a speech-enabled computer learning environment designed to teach Arabic spoken communication to American English speakers (and is described in a companion paper(Johnson et al, 2004)). This paper elaborates upon the modeling and detection of learner speech errors along multiple levels of linguistic details ranging from segmental to lexico-semantic aspects. Detecting learner errors enables providing tailored pedagogical feedback in TLTS. 1
URL:
http://www.alelo.com/files/INSTIL04-tactical_language_detection.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.546.8042
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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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