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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images ...
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The Twins corpus of museum visitor questions
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In: http://people.ict.usc.edu/~traum/Papers/twins-corpus.pdf (2012)
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Morphological variation in the adult vocal tract: A study using rtmri
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In: http://mproctor.net/docs/lammert11_IS2011_morphology.pdf (2011)
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Direct Estimation of Articulatory Kinematics from Real-time Magnetic Resonance Image Sequences
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In: http://mproctor.net/docs/proctor11_IS2011_constriction.pdf (2011)
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A multimodal real-time MRI articulatory corpus for speech research
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In: http://mproctor.net/docs/narayanan11_IS2011_MRI-TIMIT.pdf (2011)
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BASE
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Para-linguistic mechanisms of production in human ’beatboxing’: a real-time mri study
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In: http://mproctor.net/docs/proctor10_IS2010_beatboxing.pdf (2010)
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BASE
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Rapid semiautomatic segmentation of real-time Magnetic Resonance Images for parametric vocal tract analysis
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In: http://mproctor.net/docs/proctor10_IS2010_segmentation.pdf (2010)
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Connecting rhythm and prominence in automatic ESL pronunciation scoring
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In: http://www.josephtepperman.com/nava_rhythm_2009.pdf (2009)
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BASE
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Analysis of emotionally salient aspects of fundamental frequency for emotion detection
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In: http://www.utdallas.edu/dept/eecs/research/researchlabs/msp-lab/publications/Busso_2009.pdf (2009)
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Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence
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In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631211/pdf/nihms54014.pdf (2008)
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An empirical analysis of user uncertainty in problem-solving child–machine interactions
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In: http://care.usc.edu/research/Papers/MattJeannette-Uncertainty.pdf (2008)
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A text-free approach to assessing nonnative intonation
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In: http://sail.usc.edu/publications/tepperman_intonation_icslp07.pdf (2007)
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BASE
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An English-Persian Automatic Speech Translator: Recent Developments in Domain Portability and User Modeling
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In: http://sail.usc.edu/publications/georgiou_isyc2006_s2s.pdf (2006)
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Abstract
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In: http://sail.usc.edu/publications/Sethy-SpeechComm2006.pdf (2006)
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Combining acoustic, lexical, and syntactic evidence for automatic unsupervised prosody labeling
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In: http://sail.usc.edu/publications/ananthak_icslp06.pdf (2006)
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Abstract:
Automatic labeling of prosodic events in speech has potentially significant implications for spoken language processing applications, and has received much attention over the years, especially after the introduction of annotation standards such as ToBI. Current labeling techniques are based on supervised learning, relying on the availability of a corpus that is annotated with the prosodic labels of interest in order to train the system. However, creating such resources is an expensive and time-consuming task. In this paper, we examine an unsupervised labeling algorithm for accent (prominence) and prosodic phrase boundary detection at the linguistic syllable level, and evaluate their performance on an standard, manually annotated corpus. We obtain labeling accuracies of 77.8 % and 88.5 % for the accent and boundary labeling tasks, respectively. These figures compare well against previously reported performance levels for supervised labelers. Index Terms: prosody recognition, accent, stress, prominence, prosodic boundary, spoken language processing.
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Keyword:
of the utterance; to the utterance category and the speaker’s
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URL: http://sail.usc.edu/publications/ananthak_icslp06.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.7084
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Detection of Non-Native Named Entities Using Prosodic Features for Improved Speech Recognition and Translation
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In: http://isca-speech.org/archive_open/archive_papers/ml06/ml06_003.pdf (2006)
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Vector-based representation and clustering of audio using onomatopoeia words
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In: https://www.aaai.org/Papers/Symposia/Fall/2006/FS-06-01/FS06-01-012.pdf (2006)
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