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Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
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In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022)
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Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
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In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021)
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Evaluation eines russischen Sprachverständlichkeitstests ... : Evaluation of a Russian Speech Intelligibility Test ...
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The Author Naming Task: A newly-proposed measure for assessing print exposure ...
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Objective and behavioural measures of temporal processing in cochlear implant users. ...
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Shared Storybook Reading and the Development of Oral Language Skills ... : Das gemeinsame Lesen von Kinderbüchern und die Entwicklung frühkindlicher Sprachfähigkeiten ...
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Whole Word vs Phoneme Error Scoring for Audiological Word Recognition Testing
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In: Honors Theses (2020)
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Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures
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The 2016 NIST Speaker Recognition Evaluation
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Abstract:
In 2016, the National Institute of Standards and Technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE) to foster research in robust text-independent speaker recognition, as well as measure performance of current state-of-the-art systems. Compared to previous NIST SREs, SRE16 introduced several new aspects including: an entirely online evaluation platform, a fixed training data condition, more variability in test segment duration (uniformly distributed between 10s and 60s), the use of non-English (Cantonese, Cebuano, Mandarin and Tagalog) conversational telephone speech (CTS) collected outside North America, and providing labeled and unlabeled development (a.k.a. validation) sets for system hyperparameter tuning and adaptation. The introduction of the new non-English CTS data made SRE16 more challenging due to domain/channel and language mismatches as compared to previous SREs. A total of 66 research organizations from industry and academia registered for SRE16, out of which 43 teams submitted 121 valid system outputs that produced scores. This paper presents an overview of the evaluation and analysis of system performance over all primary evaluation conditions. Initial results indicate that effective use of the development data was essential for the top performing systems, and that domain/channel, language, and duration mismatch had an adverse impact on system performance.
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Keyword:
AUTOMATED SPEECH RECOGNITION; CTS(conversational telephone speech); NIST(National Institute of Standards and Technology); speaker detection; speaker verification; SRE(speaker recognition evaluation); TECHNOLOGY; test and evaluation; training; Voice Communications
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URL: http://www.dtic.mil/docs/citations/AD1034656 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1034656
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Text extraction in document images: highlight on using corner points
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In: Proceedings of 12th International Workshop on Document Analysis Systems ; International Workshop on Document Analysis Systems (DAS) ; https://hal.archives-ouvertes.fr/hal-01269802 ; International Workshop on Document Analysis Systems (DAS), Apr 2016, Santorini, Greece (2016)
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Effect of Speech Recognition Testing on Self-Reported State Anxiety
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Code-switched English Pronunciation Modeling for Swahili Spoken Term Detection (Pub Version, Open Access)
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An end-to-end approach to language identification in short utterances using convolutional neural networks
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Pulse-spreading harmonic complex as an alternative carrier for vocoder simulations of cochlear implants.
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In: J Acoust Soc Am , 139 (2) pp. 986-991. (2016) (2016)
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